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diff --git a/help/builder_help.sce b/help/builder_help.sce
new file mode 100644
index 0000000..4d4e031
--- /dev/null
+++ b/help/builder_help.sce
@@ -0,0 +1,21 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// Author: Shamika Mohanan
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+// This file must be used under the terms of the BSD.
+// This source file is licensed as described in the file LICENSE, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// https://opensource.org/licenses/BSD-3-Clause
+
+mode(-1)
+lines(0)
+
+toolbox_title = "FOSSEE_Image_Processing_Toolbox"
+
+help_dir = get_absolute_file_path('builder_help.sce');
+
+tbx_builder_help_lang("en_US", help_dir);
+
+clear toolbox_title;
diff --git a/help/builder_help.sce~ b/help/builder_help.sce~
new file mode 100644
index 0000000..da2f4f7
--- /dev/null
+++ b/help/builder_help.sce~
@@ -0,0 +1,21 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// Author: Harpreet Singh
+// Organization: FOSSEE, IIT Bombay
+// Email: harpreet.mertia@gmail.com
+// This file must be used under the terms of the BSD.
+// This source file is licensed as described in the file LICENSE, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// https://opensource.org/licenses/BSD-3-Clause
+
+mode(-1)
+lines(0)
+
+toolbox_title = "FOSSEE_Optimization_Toolbox"
+
+help_dir = get_absolute_file_path('builder_help.sce');
+
+tbx_builder_help_lang("en_US", help_dir);
+
+clear toolbox_title;
diff --git a/help/en_US/bilateralFilter.xml b/help/en_US/bilateralFilter.xml
new file mode 100644
index 0000000..7b95281
--- /dev/null
+++ b/help/en_US/bilateralFilter.xml
@@ -0,0 +1,77 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from bilateralFilter.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="bilateralFilter" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>bilateralFilter</refname>
+    <refpurpose>Applies the bilateral filter to an image</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   image = imread('path of image')
+   out = bilateralFilter(image, d, sigmaColor, sigmaSpace)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>image :</term>
+      <listitem><para> source image</para></listitem></varlistentry>
+   <varlistentry><term>d :</term>
+      <listitem><para> Diameter of each pixel neighborhood that is used during filtering</para></listitem></varlistentry>
+   <varlistentry><term>sigmaColor :</term>
+      <listitem><para> Filter sigma in the color space</para></listitem></varlistentry>
+   <varlistentry><term>sigmaSpace :</term>
+      <listitem><para> Filter sigma in the coordinate space</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+bilateralFilter can reduce unwanted noise very well while keeping edges fairly sharp.
+A larger value of the sigmaColor parameter means that farther colors within the pixel neighborhood will be mixed together.
+A larger value of the sigmaSpace parameter means that farther pixels will influence each other as long as their colors are close enough.
+It is recommended to use d=5 for real-time applications.
+For simplicity, you can set the 2 sigma values to be the same.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+img=imread('images/lena.jpeg');
+d=5;
+sigmaColor=150;
+sigmaSpace=150;
+out=bilateralFilter(image, d, sigmaColor, sigmaSpace);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>Priyanka Hiranandani</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/blend.xml b/help/en_US/blend.xml
new file mode 100644
index 0000000..a9283c9
--- /dev/null
+++ b/help/en_US/blend.xml
@@ -0,0 +1,74 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from blend.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="blend" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>blend</refname>
+    <refpurpose>Blends two images according to corresponding weights given by the user</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   out = blend(img1,img2,w1,w2)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>img1 :</term>
+      <listitem><para> first image</para></listitem></varlistentry>
+   <varlistentry><term>img2 :</term>
+      <listitem><para> second image</para></listitem></varlistentry>
+   <varlistentry><term>w1 :</term>
+      <listitem><para> a number between 1 and 100 denoting the proportion of the first image in the output</para></listitem></varlistentry>
+   <varlistentry><term>w2 :</term>
+      <listitem><para> a number between 1 and 100 denoting the proportion of the second image in the output</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+out = blend(img1,img2,w1,w2) returns a blended image which has size equal to that of first image.
+Both the images are resized to same dimensions before blending the images.
+Note that the weights are in percentage.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+w1=40;
+w2=60;
+img1=imread('images/lena.jpg');
+img2=imread('images/monkey.jpg');
+out=blend(img1,img2,w1,w2);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>M Avinash Reddy , Manoj Sree Harsha</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/build_help.sce b/help/en_US/build_help.sce
new file mode 100644
index 0000000..81154f3
--- /dev/null
+++ b/help/en_US/build_help.sce
@@ -0,0 +1,17 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// Author: Shamika Mohanan
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+// This file must be used under the terms of the BSD.
+// This source file is licensed as described in the file LICENSE, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// https://opensource.org/licenses/BSD-3-Clause
+
+help_lang_dir = get_absolute_file_path('build_help.sce');
+
+tbx_build_help(TOOLBOX_TITLE, help_lang_dir);
+
+clear help_lang_dir;
+
diff --git a/help/en_US/build_help.sce~ b/help/en_US/build_help.sce~
new file mode 100644
index 0000000..0205c56
--- /dev/null
+++ b/help/en_US/build_help.sce~
@@ -0,0 +1,17 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// Author: Shamika Mohanan
+// Organization: FOSSEE, IIT Bombay
+// Email: harpreet.mertia@gmail.com
+// This file must be used under the terms of the BSD.
+// This source file is licensed as described in the file LICENSE, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// https://opensource.org/licenses/BSD-3-Clause
+
+help_lang_dir = get_absolute_file_path('build_help.sce');
+
+tbx_build_help(TOOLBOX_TITLE, help_lang_dir);
+
+clear help_lang_dir;
+
diff --git a/help/en_US/dilate.xml b/help/en_US/dilate.xml
new file mode 100644
index 0000000..b84a713
--- /dev/null
+++ b/help/en_US/dilate.xml
@@ -0,0 +1,73 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from dilate.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="dilate" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>dilate</refname>
+    <refpurpose>Dilates an image</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   input_image=imread('path of the image')
+   out = dilate(input_image,actualkernel,anchor_x,anchor_y,iteration)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>input_image :</term>
+      <listitem><para> source image</para></listitem></varlistentry>
+   <varlistentry><term>actualkernel :</term>
+      <listitem><para> structuring element used for dilation</para></listitem></varlistentry>
+   <varlistentry><term>anchor_x :</term>
+      <listitem><para> x-coordinate of the anchor within the kernel (default is -1)</para></listitem></varlistentry>
+   <varlistentry><term>anchor_y :</term>
+      <listitem><para> y-coordinate of the anchor within the kernel (default is -1)</para></listitem></varlistentry>
+   <varlistentry><term>iteration :</term>
+      <listitem><para> number of times dilation is applied</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+The function dilates the source image using the specified structuring element(actualkernel) that determines the shape of a pixel neighborhood
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+img = imread('images/lena.jpg');
+actualkernel=[1 1 1;1 1 1;1 1 1];
+out = dilate(img,actualkernel,-1,-1,1);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>Sukul Bagai</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/gaussianblur.xml b/help/en_US/gaussianblur.xml
new file mode 100644
index 0000000..810b47a
--- /dev/null
+++ b/help/en_US/gaussianblur.xml
@@ -0,0 +1,72 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from gaussianblur.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="gaussianblur" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>gaussianblur</refname>
+    <refpurpose>Blurs an image using a Gaussian filter</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   inputImage = imread('path of the image')
+   outputImg = gaussianblur(inputImage,ksize_height,ksize_width,sigmaX,sigmaY)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>inputImage :</term>
+      <listitem><para> source image</para></listitem></varlistentry>
+   <varlistentry><term>ksize_height :</term>
+      <listitem><para> Gaussian kernel height. It must be positive and odd.</para></listitem></varlistentry>
+   <varlistentry><term>ksize_width :</term>
+      <listitem><para> Gaussian kernel width. It must be positive and odd.</para></listitem></varlistentry>
+   <varlistentry><term>sigmaX :</term>
+      <listitem><para> Gaussian kernel standard deviation in X direction.</para></listitem></varlistentry>
+   <varlistentry><term>sigmaY :</term>
+      <listitem><para> Gaussian kernel standard deviation in Y direction.</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+The function convolves the source image with the specified Gaussian kernel.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+inputImage = imread('images/lena.jpg');
+outputImg = gaussianblur(inputaImage,5,5,1,1);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>Sukul Bagai</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/getTextSize.xml b/help/en_US/getTextSize.xml
new file mode 100644
index 0000000..9136b6f
--- /dev/null
+++ b/help/en_US/getTextSize.xml
@@ -0,0 +1,70 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from getTextSize.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="getTextSize" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>getTextSize</refname>
+    <refpurpose>Calculates the width and height of a text string</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   [textSize,baseLine]= getTextSize(inputtext,fontface,fontscale,thickness)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>inputtext :</term>
+      <listitem><para> Input text string</para></listitem></varlistentry>
+   <varlistentry><term>fontface :</term>
+      <listitem><para> Font type</para></listitem></varlistentry>
+   <varlistentry><term>fontscale :</term>
+      <listitem><para> Font scale factor that is multiplied by the font-specific base size</para></listitem></varlistentry>
+   <varlistentry><term>thickness :</term>
+      <listitem><para> Thickness of the lines used to draw a text</para></listitem></varlistentry>
+   <varlistentry><term>textSize :</term>
+      <listitem><para> Output parameter- The size of a box that contains the specified text</para></listitem></varlistentry>
+   <varlistentry><term>baseLine :</term>
+      <listitem><para> Output parameter- y-coordinate of the baseline relative to the bottom-most text point</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+The function getTextSize calculates and returns the size of a box that contains the specified text
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+[textSize,baseLine]= getTextSize('helloall','FONT_HERSHEY_PLAIN',1,1);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>Sukul Bagai , Abhilasha Sancheti</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/getgaussiankernel.xml b/help/en_US/getgaussiankernel.xml
new file mode 100644
index 0000000..7516701
--- /dev/null
+++ b/help/en_US/getgaussiankernel.xml
@@ -0,0 +1,66 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from getgaussiankernel.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="getgaussiankernel" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>getgaussiankernel</refname>
+    <refpurpose>Returns Gaussian filter coefficients</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   output = getgaussiankernel(ksize, sigma, ktype)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>ksize :</term>
+      <listitem><para> Aperture size. It should be odd and positive.</para></listitem></varlistentry>
+   <varlistentry><term>sigma :</term>
+      <listitem><para> Gaussian standard deviation.</para></listitem></varlistentry>
+   <varlistentry><term>ktype :</term>
+      <listitem><para> Type of filter coefficients. It can be CV_32f or CV_64F.</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+The function computes and returns the ksize x 1 matrix of Gaussian filter coefficients.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+output = getgaussiankernel(3,1,'CV_32F');
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>Shubheshka Jalan</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/imwarp.xml b/help/en_US/imwarp.xml
new file mode 100644
index 0000000..7e27312
--- /dev/null
+++ b/help/en_US/imwarp.xml
@@ -0,0 +1,69 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from imwarp.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="imwarp" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>imwarp</refname>
+    <refpurpose>The function applies an affine transformation to the input image.</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   img=imread('path of the image')
+   output=imwarp(img,transformation_matrix)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>img :</term>
+      <listitem><para> Input image</para></listitem></varlistentry>
+   <varlistentry><term>m :</term>
+      <listitem><para> It is the 2X3 transformation matrix.</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+The function warpAffine transforms the source image using the specified matrix:
+dst(x,y) = src( ( m(1,1)*x + m(1,2)*y + m(1,3) ) , ( m(2,1)*x + m(2,2)*y + m(2,3) ) )
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+stacksize('max');
+img=imread('images/lena.jpg');
+m=[1 2 0;2 1 0];
+out=imwarp(img,m);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>V Srinivas , M Avinash Reddy</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/knn.xml b/help/en_US/knn.xml
new file mode 100644
index 0000000..dd78ea0
--- /dev/null
+++ b/help/en_US/knn.xml
@@ -0,0 +1,90 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from knn.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="knn" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>knn</refname>
+    <refpurpose>Finds the k nearest neighbours of the query point q, in the dataset f</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   out = knn(q,f,k)
+   out = knn(q,f,k,algo_type)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>q :</term>
+      <listitem><para> a row vector containing the query point</para></listitem></varlistentry>
+   <varlistentry><term>f :</term>
+      <listitem><para> f is the set of data points and the number of columns in f should be same as that of q to match point dimensionality</para></listitem></varlistentry>
+   <varlistentry><term>k :</term>
+      <listitem><para> a positive integer specifying the number of nearest neighbours in f for the query point p.</para></listitem></varlistentry>
+   <varlistentry><term>algo_type :</term>
+      <listitem><para> a integer between 1 and 4 (both inclusive) specifying the algorithm to be used for the knn search.</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+out = knn(q,f,k) returns a 2xk matrix .
+The first row of out contains the indices of the k nearest points in the dataset(f) from the query point.
+The second row contains the corresponding distances(squared euclidean distance).
+algo_type 1 corresponds to linear search algorithm.
+algo_type 2 corresponds to search using a set of randomized kd-trees.
+algo_type 3 corresponds to search using hierarchical k-means tree.
+algo_type 4 corresponds to combined search using both kd-trees and k-means algorithm.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+q=[1];
+f=[1;2;10;-1];
+k=3;
+out=knn(q,f,k);
+
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+q=[1,1];
+f=[1,3;2,0;10,10;-1,1];
+k=3;
+algo_type=2;
+out=knn(q,f,k,algo_type);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>M Avinash Reddy</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/laplacian.xml b/help/en_US/laplacian.xml
new file mode 100644
index 0000000..9513790
--- /dev/null
+++ b/help/en_US/laplacian.xml
@@ -0,0 +1,72 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from laplacian.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="laplacian" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>laplacian</refname>
+    <refpurpose>The function calculates laplacian of an image</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   inputImage = imread('path of the source image')
+   outputImg = laplacian(inputImage , depth , ksize , scale, delta)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>inputImage :</term>
+      <listitem><para> source image</para></listitem></varlistentry>
+   <varlistentry><term>depth :</term>
+      <listitem><para> Depth of the output image</para></listitem></varlistentry>
+   <varlistentry><term>ksize :</term>
+      <listitem><para> Aperture size</para></listitem></varlistentry>
+   <varlistentry><term>scale :</term>
+      <listitem><para> Optional scale factor for the computed Laplacian values</para></listitem></varlistentry>
+   <varlistentry><term>delta :</term>
+      <listitem><para> This value is added to each pixel in the output image</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+Laplacian Operator is also a derivative operator which is used to find edges in an image.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+img=imread('images/lena.jpg');
+out=laplacian(img,'CV_8U',3,1,0);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>Sukul Bagai</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/master_help.xml b/help/en_US/master_help.xml
new file mode 100644
index 0000000..5dee8c4
--- /dev/null
+++ b/help/en_US/master_help.xml
@@ -0,0 +1,51 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE book [
+<!--Begin Entities-->
+<!ENTITY a7f78b2eb485a5a8c71248f2430715dad SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/bilateralFilter.xml">
+<!ENTITY ada1ec654a828ed4894a81c995ee8e27e SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/blend.xml">
+<!ENTITY a7f948ba2428b32007e70f3aff88c5022 SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/dilate.xml">
+<!ENTITY a26c348a0f3bc159bf900e6878e610baa SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/gaussianblur.xml">
+<!ENTITY ae2a9e826f5d3b6d79c8ddbf422e6b8b9 SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/getTextSize.xml">
+<!ENTITY a5a76cf00cc0c2f8624a645bcbcb017f6 SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/getgaussiankernel.xml">
+<!ENTITY a7e600fa4f1ae065186acaa9d0f81a828 SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/imwarp.xml">
+<!ENTITY a14848588163ca28d6eefa1e05da08340 SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/knn.xml">
+<!ENTITY a8049d3224ff7938fa8e2cf820c533555 SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/laplacian.xml">
+<!ENTITY a681aa954a349ba4a40016efb61501d2d SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/medianblur.xml">
+<!ENTITY a950d8997181c678cf4593b668031da1f SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/montage.xml">
+<!ENTITY aaf55bbe801cf213d4848369d317fc5ff SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/pana.xml">
+<!ENTITY a1a961eacab9bac7985e0b78ea52ad95a SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/pclknn.xml">
+<!ENTITY aacd7631bce1466c14971db8312787324 SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/seamfind.xml">
+<!ENTITY a9dca3d3fc8f6dbfb0b9dc8177c20a507 SYSTEM "/home/avinashr175/Desktop/FosseeSummerInternship/FOSSEE_Image_Processing_Toolbox-master/help/en_US/warp.xml">
+<!--End Entities-->
+]>
+<book version="5.0-subset Scilab" xml:lang="en_US"
+      xmlns="http://docbook.org/ns/docbook"
+      xmlns:xlink="http://www.w3.org/1999/xlink"
+      xmlns:xi="http://www.w3.org/2001/XInclude"
+      xmlns:svg="http://www.w3.org/2000/svg"
+      xmlns:mml="http://www.w3.org/1998/Math/MathML"
+      xmlns:html="http://www.w3.org/1999/xhtml"
+      xmlns:db="http://docbook.org/ns/docbook">
+  <info xml:id='fossee_image_processing_toolbox_manual'>
+    <title>FOSSEE Image Processing Toolbox</title>
+  </info>
+
+<part xml:id='section_363e00d7df9144542914e8298d527a54'>
+<title>FOSSEE Image Processing Toolbox</title>
+&a7f78b2eb485a5a8c71248f2430715dad;
+&ada1ec654a828ed4894a81c995ee8e27e;
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+&aacd7631bce1466c14971db8312787324;
+&a9dca3d3fc8f6dbfb0b9dc8177c20a507;
+</part>
+</book>
diff --git a/help/en_US/medianblur.xml b/help/en_US/medianblur.xml
new file mode 100644
index 0000000..c71e05f
--- /dev/null
+++ b/help/en_US/medianblur.xml
@@ -0,0 +1,66 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from medianblur.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="medianblur" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>medianblur</refname>
+    <refpurpose>Blurs an image using the median filter.</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   inputImage = imread('path of the image')
+   outputImg = medianblur(inputImage,ksize)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>inputImage :</term>
+      <listitem><para> source image</para></listitem></varlistentry>
+   <varlistentry><term>ksize :</term>
+      <listitem><para>  aperture linear size; it must be odd and greater than 1</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+The function smoothes an image using the median filter with the ksize x ksize aperture.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+inputImage = imread('images/lena.jpg');
+ouputImg = medianblur(inputImage,3);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>Sukul Bagai</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/montage.xml b/help/en_US/montage.xml
new file mode 100644
index 0000000..c0ae614
--- /dev/null
+++ b/help/en_US/montage.xml
@@ -0,0 +1,73 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from montage.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="montage" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>montage</refname>
+    <refpurpose>Creates a montage of same sized input images</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   out = montage(1,1,img1)
+   out = montage(1,2,img1,img2)
+   out = montage(3,1,img1,img2,img3)
+   out = montage(2,2,img1,img2.img3,img4)
+   out = montage(1,5,img1,img2,img3,img4,img5)
+   out = montage(3,2,img1,img2,img3,img4,img5,img6)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>rows :</term>
+      <listitem><para> number of rows in montage</para></listitem></varlistentry>
+   <varlistentry><term>cols :</term>
+      <listitem><para> number of columns in montage</para></listitem></varlistentry>
+   <varlistentry><term>varargin :</term>
+      <listitem><para> variable number of input images</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+The function creates a montage with the list of images. Montage is created row-wise with images taken in order from the list. Note that the following condition should hold true:- no_of_rows*no_of_cols &gt;= no_of_images &gt; (no_of_rows-1)*(no_of_cols)
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+img1=imread('images/lena.jpg');
+img2=imread('images/monkey.jpeg');
+out=montage(1,2,img1,img2);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>Sukul Bagai , M Avinash Reddy</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/pana.xml b/help/en_US/pana.xml
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--- /dev/null
+++ b/help/en_US/pana.xml
@@ -0,0 +1,107 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from pana.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="pana" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>pana</refname>
+    <refpurpose>Creates the output panorama image using two or more images</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   stacksize('max')
+   img1=imread('path of the image file')
+   img2=imread('path of the image file')
+   out = pana(img1,img2)
+   img3=imread('path of the image file')
+   out = pana(img1,img2,img3)
+   img4=imread('path of the image file')
+   out = pana(img1,img2,img3,img4)
+   img5=imread('path of the image file')
+   out = pana(img1,img2,img3,img4,img5)
+   img6=imread('path of the image file')
+   out = pana(img1,img2,img3,img4,img5,img6)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>img1 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img2 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img3 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img4 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img5 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img6 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+The images pass through a stiching pipeline before the final panorama is formed.
+Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images.
+After this camera parameters are estimated which is required to do particular type of warping.
+After warping is done exposure is compensated in all images so as to get a uniform exposure throughout the panaroma.
+Seam estimation is done next to get the exact portions of images to be blended.
+Finally, the images are blended to form the panorama.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+stacksize('max');
+img1=imread('campus_017.jpg');
+img2=imread('campus_016.jpg');
+img3=imread('campus_015.jpg');
+img4=imread('campus_014.jpg');
+img5=imread('campus_013.jpg');
+img6=imread('campus_012.jpg');
+out=pana(img1,img2,img3,img4,img5,img6);
+
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+stacksize('max');
+a=imread('s1.jpg');
+b=imread('s2.jpg');
+c=imread('s3.jpg');
+y=pana(a,b,c);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>M Avinash Reddy , Manoj Sree Harsha , Ebey Abraham</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/pclknn.xml b/help/en_US/pclknn.xml
new file mode 100644
index 0000000..4b06a7b
--- /dev/null
+++ b/help/en_US/pclknn.xml
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+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from pclknn.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="pclknn" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>pclknn</refname>
+    <refpurpose>Finds the k nearest neighbours of the query point q, in the point cloud.</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   pcloud=pcread('path of point cloud file')
+   out = pclknn(pcloud,q,k)
+   
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>pcloud :</term>
+      <listitem><para> a point cloud structure read using pcread function</para></listitem></varlistentry>
+   <varlistentry><term>q :</term>
+      <listitem><para> a three dimensional query point</para></listitem></varlistentry>
+   <varlistentry><term>k :</term>
+      <listitem><para> a positive integer specifying the number of nearest neighbours in pcloud for the query point p.</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+out = knn(q,f,k) returns a 2xk matrix .
+The first row of out contains the indices of the k nearest points in the dataset(f) from the query point.
+The second row contains the corresponding distances(squared euclidean distance).
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+q=[0 0 0];
+data=pcread('data/cube.ply')
+k=3;
+out=pclknn(data,q,k);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>M Avinash Reddy</member>
+   </simplelist>
+</refsection>
+</refentry>
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+„ß,×’c®/Þ‰ðË{'@	€2;ÚÅùo,&ÐÎðÊ—q¹zÂ׫P	—æ:Va¾`l³P¬4™‹žºý"”Ô
\ No newline at end of file
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@@ -0,0 +1,2 @@
+JavaSearch 1.0
+TMAP bs=2048 rt=1 fl=-1 id1=452 id2=1
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diff --git a/help/en_US/scilab_en_US_help/bilateralFilter.html b/help/en_US/scilab_en_US_help/bilateralFilter.html
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+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>bilateralFilter</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="section_363e00d7df9144542914e8298d527a54.html">&lt;&lt; FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="blend.html">blend &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; bilateralFilter</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">bilateralFilter</h1>
+    <p class="refpurpose">Applies the bilateral filter to an image</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">image</span><span class="default"> = </span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">image</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">bilateralFilter</span><span class="default">(</span><span class="default">image</span><span class="default">, </span><span class="default">d</span><span class="default">, </span><span class="default">sigmaColor</span><span class="default">, </span><span class="default">sigmaSpace</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">image :</span>
+      <dd><p class="para">source image</p></dd></dt>
+   <dt><span class="term">d :</span>
+      <dd><p class="para">Diameter of each pixel neighborhood that is used during filtering</p></dd></dt>
+   <dt><span class="term">sigmaColor :</span>
+      <dd><p class="para">Filter sigma in the color space</p></dd></dt>
+   <dt><span class="term">sigmaSpace :</span>
+      <dd><p class="para">Filter sigma in the coordinate space</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">bilateralFilter can reduce unwanted noise very well while keeping edges fairly sharp.
+A larger value of the sigmaColor parameter means that farther colors within the pixel neighborhood will be mixed together.
+A larger value of the sigmaSpace parameter means that farther pixels will influence each other as long as their colors are close enough.
+It is recommended to use d=5 for real-time applications.
+For simplicity, you can set the 2 sigma values to be the same.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">img</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/lena.jpeg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">d</span><span class="scilaboperator">=</span><span class="scilabnumber">5</span><span class="scilabdefault">;</span>
+<span class="scilabid">sigmaColor</span><span class="scilaboperator">=</span><span class="scilabnumber">150</span><span class="scilabdefault">;</span>
+<span class="scilabid">sigmaSpace</span><span class="scilaboperator">=</span><span class="scilabnumber">150</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">bilateralFilter</span><span class="scilabopenclose">(</span><span class="scilabid">image</span><span class="scilabdefault">,</span> <span class="scilabid">d</span><span class="scilabdefault">,</span> <span class="scilabid">sigmaColor</span><span class="scilabdefault">,</span> <span class="scilabid">sigmaSpace</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">Priyanka Hiranandani</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="section_363e00d7df9144542914e8298d527a54.html">&lt;&lt; FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="blend.html">blend &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/blend.html b/help/en_US/scilab_en_US_help/blend.html
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+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>blend</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="bilateralFilter.html">&lt;&lt; bilateralFilter</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="dilate.html">dilate &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; blend</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">blend</h1>
+    <p class="refpurpose">Blends two images according to corresponding weights given by the user</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">out</span><span class="default"> = </span><span class="functionid">blend</span><span class="default">(</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">w1</span><span class="default">,</span><span class="default">w2</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">img1 :</span>
+      <dd><p class="para">first image</p></dd></dt>
+   <dt><span class="term">img2 :</span>
+      <dd><p class="para">second image</p></dd></dt>
+   <dt><span class="term">w1 :</span>
+      <dd><p class="para">a number between 1 and 100 denoting the proportion of the first image in the output</p></dd></dt>
+   <dt><span class="term">w2 :</span>
+      <dd><p class="para">a number between 1 and 100 denoting the proportion of the second image in the output</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">out = blend(img1,img2,w1,w2) returns a blended image which has size equal to that of first image.
+Both the images are resized to same dimensions before blending the images.
+Note that the weights are in percentage.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">w1</span><span class="scilaboperator">=</span><span class="scilabnumber">40</span><span class="scilabdefault">;</span>
+<span class="scilabid">w2</span><span class="scilaboperator">=</span><span class="scilabnumber">60</span><span class="scilabdefault">;</span>
+<span class="scilabid">img1</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/lena.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img2</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/monkey.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">blend</span><span class="scilabopenclose">(</span><span class="scilabid">img1</span><span class="scilabdefault">,</span><span class="scilabid">img2</span><span class="scilabdefault">,</span><span class="scilabid">w1</span><span class="scilabdefault">,</span><span class="scilabid">w2</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">M Avinash Reddy , Manoj Sree Harsha</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="bilateralFilter.html">&lt;&lt; bilateralFilter</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="dilate.html">dilate &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/c_code.css b/help/en_US/scilab_en_US_help/c_code.css
new file mode 100644
index 0000000..948d2ee
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/c_code.css
@@ -0,0 +1,54 @@
+.ccomment {
+ font-style: italic;
+ color: #b22222
+}
+
+.cdefault {
+ font-style: normal;
+ color: #000000
+}
+
+.copenclose {
+ font-style: normal;
+ color: #000000
+}
+
+.coperator {
+ font-style: normal;
+ color: #000000
+}
+
+.cstring {
+ font-style: normal;
+ color: #a6557a
+}
+
+.ctype {
+ font-style: normal;
+ color: #55a655
+}
+
+.cpreprocessor {
+ font-style: normal;
+ color: #9965a6
+}
+
+.cid {
+ font-style: normal;
+ color: #000000
+}
+
+.ckeyword {
+ font-style: normal;
+ color: #ad3ff2
+}
+
+.cmodifier {
+ font-style: normal;
+ color: #ad3ff2
+}
+
+.cnumber {
+ font-style: normal;
+ color: #008b8b
+}
diff --git a/help/en_US/scilab_en_US_help/dilate.html b/help/en_US/scilab_en_US_help/dilate.html
new file mode 100644
index 0000000..5fff551
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/dilate.html
@@ -0,0 +1,88 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>dilate</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="blend.html">&lt;&lt; blend</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="gaussianblur.html">gaussianblur &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; dilate</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">dilate</h1>
+    <p class="refpurpose">Dilates an image</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">input_image</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">dilate</span><span class="default">(</span><span class="default">input_image</span><span class="default">,</span><span class="default">actualkernel</span><span class="default">,</span><span class="default">anchor_x</span><span class="default">,</span><span class="default">anchor_y</span><span class="default">,</span><span class="default">iteration</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">input_image :</span>
+      <dd><p class="para">source image</p></dd></dt>
+   <dt><span class="term">actualkernel :</span>
+      <dd><p class="para">structuring element used for dilation</p></dd></dt>
+   <dt><span class="term">anchor_x :</span>
+      <dd><p class="para">x-coordinate of the anchor within the kernel (default is -1)</p></dd></dt>
+   <dt><span class="term">anchor_y :</span>
+      <dd><p class="para">y-coordinate of the anchor within the kernel (default is -1)</p></dd></dt>
+   <dt><span class="term">iteration :</span>
+      <dd><p class="para">number of times dilation is applied</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">The function dilates the source image using the specified structuring element(actualkernel) that determines the shape of a pixel neighborhood</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">img</span> <span class="scilaboperator">=</span> <span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/lena.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">actualkernel</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span><span class="scilabdefault">;</span><span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span><span class="scilabdefault">;</span><span class="scilabnumber">1</span> <span class="scilabnumber">1</span> <span class="scilabnumber">1</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span> <span class="scilaboperator">=</span> <span class="scilabid">dilate</span><span class="scilabopenclose">(</span><span class="scilabid">img</span><span class="scilabdefault">,</span><span class="scilabid">actualkernel</span><span class="scilabdefault">,</span><span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">Sukul Bagai</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="blend.html">&lt;&lt; blend</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="gaussianblur.html">gaussianblur &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/gaussianblur.html b/help/en_US/scilab_en_US_help/gaussianblur.html
new file mode 100644
index 0000000..b4e89cf
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/gaussianblur.html
@@ -0,0 +1,87 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>gaussianblur</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="dilate.html">&lt;&lt; dilate</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="getTextSize.html">getTextSize &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; gaussianblur</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">gaussianblur</h1>
+    <p class="refpurpose">Blurs an image using a Gaussian filter</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">inputImage</span><span class="default"> = </span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span>&#0039;<span class="default">)</span>
+<span class="default">outputImg</span><span class="default"> = </span><span class="functionid">gaussianblur</span><span class="default">(</span><span class="default">inputImage</span><span class="default">,</span><span class="default">ksize_height</span><span class="default">,</span><span class="default">ksize_width</span><span class="default">,</span><span class="default">sigmaX</span><span class="default">,</span><span class="default">sigmaY</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">inputImage :</span>
+      <dd><p class="para">source image</p></dd></dt>
+   <dt><span class="term">ksize_height :</span>
+      <dd><p class="para">Gaussian kernel height. It must be positive and odd.</p></dd></dt>
+   <dt><span class="term">ksize_width :</span>
+      <dd><p class="para">Gaussian kernel width. It must be positive and odd.</p></dd></dt>
+   <dt><span class="term">sigmaX :</span>
+      <dd><p class="para">Gaussian kernel standard deviation in X direction.</p></dd></dt>
+   <dt><span class="term">sigmaY :</span>
+      <dd><p class="para">Gaussian kernel standard deviation in Y direction.</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">The function convolves the source image with the specified Gaussian kernel.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">inputImage</span> <span class="scilaboperator">=</span> <span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/lena.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">outputImg</span> <span class="scilaboperator">=</span> <span class="scilabid">gaussianblur</span><span class="scilabopenclose">(</span><span class="scilabid">inputaImage</span><span class="scilabdefault">,</span><span class="scilabnumber">5</span><span class="scilabdefault">,</span><span class="scilabnumber">5</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">Sukul Bagai</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="dilate.html">&lt;&lt; dilate</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="getTextSize.html">getTextSize &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/getTextSize.html b/help/en_US/scilab_en_US_help/getTextSize.html
new file mode 100644
index 0000000..859ff5b
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/getTextSize.html
@@ -0,0 +1,86 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>getTextSize</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="gaussianblur.html">&lt;&lt; gaussianblur</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="getgaussiankernel.html">getgaussiankernel &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; getTextSize</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">getTextSize</h1>
+    <p class="refpurpose">Calculates the width and height of a text string</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">[</span><span class="default">textSize</span><span class="default">,</span><span class="default">baseLine</span><span class="default">]= </span><span class="functionid">getTextSize</span><span class="default">(</span><span class="default">inputtext</span><span class="default">,</span><span class="default">fontface</span><span class="default">,</span><span class="default">fontscale</span><span class="default">,</span><span class="default">thickness</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">inputtext :</span>
+      <dd><p class="para">Input text string</p></dd></dt>
+   <dt><span class="term">fontface :</span>
+      <dd><p class="para">Font type</p></dd></dt>
+   <dt><span class="term">fontscale :</span>
+      <dd><p class="para">Font scale factor that is multiplied by the font-specific base size</p></dd></dt>
+   <dt><span class="term">thickness :</span>
+      <dd><p class="para">Thickness of the lines used to draw a text</p></dd></dt>
+   <dt><span class="term">textSize :</span>
+      <dd><p class="para">Output parameter- The size of a box that contains the specified text</p></dd></dt>
+   <dt><span class="term">baseLine :</span>
+      <dd><p class="para">Output parameter- y-coordinate of the baseline relative to the bottom-most text point</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">The function getTextSize calculates and returns the size of a box that contains the specified text</p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabopenclose">[</span><span class="scilabid">textSize</span><span class="scilabdefault">,</span><span class="scilabid">baseLine</span><span class="scilabopenclose">]</span><span class="scilaboperator">=</span> <span class="scilabid">getTextSize</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">helloall</span><span class="scilabstring">&#0039;</span><span class="scilabdefault">,</span><span class="scilabstring">&#0039;</span><span class="scilabstring">FONT_HERSHEY_PLAIN</span><span class="scilabstring">&#0039;</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">Sukul Bagai , Abhilasha Sancheti</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="gaussianblur.html">&lt;&lt; gaussianblur</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="getgaussiankernel.html">getgaussiankernel &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/getgaussiankernel.html b/help/en_US/scilab_en_US_help/getgaussiankernel.html
new file mode 100644
index 0000000..64d51a0
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/getgaussiankernel.html
@@ -0,0 +1,81 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>getgaussiankernel</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="getTextSize.html">&lt;&lt; getTextSize</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="imwarp.html">imwarp &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; getgaussiankernel</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">getgaussiankernel</h1>
+    <p class="refpurpose">Returns Gaussian filter coefficients</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">output</span><span class="default"> = </span><span class="functionid">getgaussiankernel</span><span class="default">(</span><span class="default">ksize</span><span class="default">, </span><span class="default">sigma</span><span class="default">, </span><span class="default">ktype</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">ksize :</span>
+      <dd><p class="para">Aperture size. It should be odd and positive.</p></dd></dt>
+   <dt><span class="term">sigma :</span>
+      <dd><p class="para">Gaussian standard deviation.</p></dd></dt>
+   <dt><span class="term">ktype :</span>
+      <dd><p class="para">Type of filter coefficients. It can be CV_32f or CV_64F.</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">The function computes and returns the ksize x 1 matrix of Gaussian filter coefficients.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">output</span> <span class="scilaboperator">=</span> <span class="scilabid">getgaussiankernel</span><span class="scilabopenclose">(</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabstring">&#0039;</span><span class="scilabstring">CV_32F</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">Shubheshka Jalan</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="getTextSize.html">&lt;&lt; getTextSize</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="imwarp.html">imwarp &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/imwarp.html b/help/en_US/scilab_en_US_help/imwarp.html
new file mode 100644
index 0000000..2ae7fed
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/imwarp.html
@@ -0,0 +1,84 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>imwarp</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="getgaussiankernel.html">&lt;&lt; getgaussiankernel</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="knn.html">knn &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; imwarp</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">imwarp</h1>
+    <p class="refpurpose">The function applies an affine transformation to the input image.</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">img</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span>&#0039;<span class="default">)</span>
+<span class="default">output</span><span class="default">=</span><span class="functionid">imwarp</span><span class="default">(</span><span class="default">img</span><span class="default">,</span><span class="default">transformation_matrix</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">img :</span>
+      <dd><p class="para">Input image</p></dd></dt>
+   <dt><span class="term">m :</span>
+      <dd><p class="para">It is the 2X3 transformation matrix.</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">The function warpAffine transforms the source image using the specified matrix:
+dst(x,y) = src( ( m(1,1)*x + m(1,2)*y + m(1,3) ) , ( m(2,1)*x + m(2,2)*y + m(2,3) ) )</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><a class="scilabcommand" href="scilab://stacksize">stacksize</a><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">max</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/lena.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">m</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span> <span class="scilabnumber">2</span> <span class="scilabnumber">0</span><span class="scilabdefault">;</span><span class="scilabnumber">2</span> <span class="scilabnumber">1</span> <span class="scilabnumber">0</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">imwarp</span><span class="scilabopenclose">(</span><span class="scilabid">img</span><span class="scilabdefault">,</span><span class="scilabid">m</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">V Srinivas , M Avinash Reddy</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="getgaussiankernel.html">&lt;&lt; getgaussiankernel</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="knn.html">knn &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/index.html b/help/en_US/scilab_en_US_help/index.html
new file mode 100644
index 0000000..8d28727
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/index.html
@@ -0,0 +1,139 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title></title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	
+      </td>
+      <td width="40%" class="center">
+      	
+      </td>
+      <td width="30%" class="next">
+      	
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    
+    <br /><br />
+    <h3 class="book-title">FOSSEE Image Processing Toolbox</h3>
+<ul class="list-part"><a name="fossee_image_processing_toolbox_manual"></a><div class="info"></div>
+
+<li><a href="section_363e00d7df9144542914e8298d527a54.html" class="part">FOSSEE Image Processing Toolbox</a>
+<ul class="list-chapter"><li><a href="bilateralFilter.html" class="refentry">bilateralFilter</a> &#8212; <span class="refentry-description">Applies the bilateral filter to an image</span></li>
+
+
+
+
+
+<li><a href="blend.html" class="refentry">blend</a> &#8212; <span class="refentry-description">Blends two images according to corresponding weights given by the user</span></li>
+
+
+
+
+
+<li><a href="dilate.html" class="refentry">dilate</a> &#8212; <span class="refentry-description">Dilates an image</span></li>
+
+
+
+
+
+<li><a href="gaussianblur.html" class="refentry">gaussianblur</a> &#8212; <span class="refentry-description">Blurs an image using a Gaussian filter</span></li>
+
+
+
+
+
+<li><a href="getTextSize.html" class="refentry">getTextSize</a> &#8212; <span class="refentry-description">Calculates the width and height of a text string</span></li>
+
+
+
+
+
+<li><a href="getgaussiankernel.html" class="refentry">getgaussiankernel</a> &#8212; <span class="refentry-description">Returns Gaussian filter coefficients</span></li>
+
+
+
+
+
+<li><a href="imwarp.html" class="refentry">imwarp</a> &#8212; <span class="refentry-description">The function applies an affine transformation to the input image.</span></li>
+
+
+
+
+
+<li><a href="knn.html" class="refentry">knn</a> &#8212; <span class="refentry-description">Finds the k nearest neighbours of the query point q, in the dataset f</span></li>
+
+
+
+
+
+<li><a href="laplacian.html" class="refentry">laplacian</a> &#8212; <span class="refentry-description">The function calculates laplacian of an image</span></li>
+
+
+
+
+
+<li><a href="medianblur.html" class="refentry">medianblur</a> &#8212; <span class="refentry-description">Blurs an image using the median filter.</span></li>
+
+
+
+
+
+<li><a href="montage.html" class="refentry">montage</a> &#8212; <span class="refentry-description">Creates a montage of same sized input images</span></li>
+
+
+
+
+
+<li><a href="pana.html" class="refentry">pana</a> &#8212; <span class="refentry-description">Creates the output panorama image using two or more images</span></li>
+
+
+
+
+
+<li><a href="pclknn.html" class="refentry">pclknn</a> &#8212; <span class="refentry-description">Finds the k nearest neighbours of the query point q, in the point cloud.</span></li>
+
+
+
+
+
+<li><a href="seamfind.html" class="refentry">seamfind</a> &#8212; <span class="refentry-description">Estimates the seams in input images (which are going to be stitched to form a panaroma)</span></li>
+
+
+
+
+
+<li><a href="warp.html" class="refentry">warp</a> &#8212; <span class="refentry-description">This function maps an image onto a unit sphere located at the origin (center of the image).</span></li></ul></li></ul>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	
+      </td>
+      <td width="40%" class="center">
+      	
+      </td>
+      <td width="30%" class="next">
+      	
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/jhelpidx.xml b/help/en_US/scilab_en_US_help/jhelpidx.xml
new file mode 100644
index 0000000..aa5a66e
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/jhelpidx.xml
@@ -0,0 +1,3 @@
+<?xml version="1.0" encoding="utf-8" standalone="no"?>
+<!DOCTYPE index PUBLIC "-//Sun Microsystems Inc.//DTD JavaHelp Index Version 1.0//EN" "http://java.sun.com/products/javahelp/index_1_0.dtd">
+<index version="1.0"/>
\ No newline at end of file
diff --git a/help/en_US/scilab_en_US_help/jhelpmap.jhm b/help/en_US/scilab_en_US_help/jhelpmap.jhm
new file mode 100644
index 0000000..2c8d6f4
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/jhelpmap.jhm
@@ -0,0 +1,21 @@
+<?xml version="1.0" encoding="utf-8" standalone="no"?>
+<!DOCTYPE map PUBLIC "-//Sun Microsystems Inc.//DTD JavaHelp Map Version 1.0//EN" "http://java.sun.com/products/javahelp/map_1_0.dtd">
+<map version="1.0">
+<mapID target="index" url="index.html"/>
+<mapID target="section_363e00d7df9144542914e8298d527a54" url="section_363e00d7df9144542914e8298d527a54.html"/>
+<mapID target="bilateralFilter" url="bilateralFilter.html"/>
+<mapID target="blend" url="blend.html"/>
+<mapID target="dilate" url="dilate.html"/>
+<mapID target="gaussianblur" url="gaussianblur.html"/>
+<mapID target="getTextSize" url="getTextSize.html"/>
+<mapID target="getgaussiankernel" url="getgaussiankernel.html"/>
+<mapID target="imwarp" url="imwarp.html"/>
+<mapID target="knn" url="knn.html"/>
+<mapID target="laplacian" url="laplacian.html"/>
+<mapID target="medianblur" url="medianblur.html"/>
+<mapID target="montage" url="montage.html"/>
+<mapID target="pana" url="pana.html"/>
+<mapID target="pclknn" url="pclknn.html"/>
+<mapID target="seamfind" url="seamfind.html"/>
+<mapID target="warp" url="warp.html"/>
+</map>
\ No newline at end of file
diff --git a/help/en_US/scilab_en_US_help/jhelpset.hs b/help/en_US/scilab_en_US_help/jhelpset.hs
new file mode 100644
index 0000000..7c93217
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/jhelpset.hs
@@ -0,0 +1,28 @@
+<?xml version="1.0" encoding="utf-8" standalone="no"?>
+<!DOCTYPE helpset
+  PUBLIC "-//Sun Microsystems Inc.//DTD JavaHelp HelpSet Version 1.0//EN" "http://java.sun.com/products/javahelp/helpset_1_0.dtd">
+<helpset version="1.0">
+<title>FOSSEE Image Processing Toolbox</title>
+<maps>
+<homeID>top</homeID>
+<mapref location="jhelpmap.jhm"/>
+</maps>
+<view>
+<name>TOC</name>
+<label>Table Of Contents</label>
+<type>javax.help.TOCView</type>
+<data>jhelptoc.xml</data>
+</view>
+<view>
+<name>Index</name>
+<label>Index</label>
+<type>javax.help.IndexView</type>
+<data>jhelpidx.xml</data>
+</view>
+<view>
+<name>Search</name>
+<label>Search</label>
+<type>javax.help.SearchView</type>
+<data engine="com.sun.java.help.search.DefaultSearchEngine">JavaHelpSearch</data>
+</view>
+</helpset>
\ No newline at end of file
diff --git a/help/en_US/scilab_en_US_help/jhelptoc.xml b/help/en_US/scilab_en_US_help/jhelptoc.xml
new file mode 100644
index 0000000..cea25f3
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/jhelptoc.xml
@@ -0,0 +1,23 @@
+<?xml version="1.0" encoding="utf-8" standalone="no"?>
+<!DOCTYPE toc PUBLIC "-//Sun Microsystems Inc.//DTD JavaHelp TOC Version 1.0//EN" "http://java.sun.com/products/javahelp/toc_1_0.dtd">
+<toc version="1.0">
+<tocitem target="index" text="FOSSEE Image Processing Toolbox">
+<tocitem target="section_363e00d7df9144542914e8298d527a54" text="FOSSEE Image Processing Toolbox">
+<tocitem target="bilateralFilter" text="bilateralFilter"/>
+<tocitem target="blend" text="blend"/>
+<tocitem target="dilate" text="dilate"/>
+<tocitem target="gaussianblur" text="gaussianblur"/>
+<tocitem target="getTextSize" text="getTextSize"/>
+<tocitem target="getgaussiankernel" text="getgaussiankernel"/>
+<tocitem target="imwarp" text="imwarp"/>
+<tocitem target="knn" text="knn"/>
+<tocitem target="laplacian" text="laplacian"/>
+<tocitem target="medianblur" text="medianblur"/>
+<tocitem target="montage" text="montage"/>
+<tocitem target="pana" text="pana"/>
+<tocitem target="pclknn" text="pclknn"/>
+<tocitem target="seamfind" text="seamfind"/>
+<tocitem target="warp" text="warp"/>
+</tocitem>
+</tocitem>
+</toc>
\ No newline at end of file
diff --git a/help/en_US/scilab_en_US_help/knn.html b/help/en_US/scilab_en_US_help/knn.html
new file mode 100644
index 0000000..7592e81
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/knn.html
@@ -0,0 +1,100 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>knn</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="imwarp.html">&lt;&lt; imwarp</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="laplacian.html">laplacian &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; knn</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">knn</h1>
+    <p class="refpurpose">Finds the k nearest neighbours of the query point q, in the dataset f</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">out</span><span class="default"> = </span><span class="functionid">knn</span><span class="default">(</span><span class="default">q</span><span class="default">,</span><span class="default">f</span><span class="default">,</span><span class="default">k</span><span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">knn</span><span class="default">(</span><span class="default">q</span><span class="default">,</span><span class="default">f</span><span class="default">,</span><span class="default">k</span><span class="default">,</span><span class="default">algo_type</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">q :</span>
+      <dd><p class="para">a row vector containing the query point</p></dd></dt>
+   <dt><span class="term">f :</span>
+      <dd><p class="para">f is the set of data points and the number of columns in f should be same as that of q to match point dimensionality</p></dd></dt>
+   <dt><span class="term">k :</span>
+      <dd><p class="para">a positive integer specifying the number of nearest neighbours in f for the query point p.</p></dd></dt>
+   <dt><span class="term">algo_type :</span>
+      <dd><p class="para">a integer between 1 and 4 (both inclusive) specifying the algorithm to be used for the knn search.</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">out = knn(q,f,k) returns a 2xk matrix .
+The first row of out contains the indices of the k nearest points in the dataset(f) from the query point.
+The second row contains the corresponding distances(squared euclidean distance).
+algo_type 1 corresponds to linear search algorithm.
+algo_type 2 corresponds to search using a set of randomized kd-trees.
+algo_type 3 corresponds to search using hierarchical k-means tree.
+algo_type 4 corresponds to combined search using both kd-trees and k-means algorithm.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">q</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
+<span class="scilabid">f</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span><span class="scilabnumber">2</span><span class="scilabdefault">;</span><span class="scilabnumber">10</span><span class="scilabdefault">;</span><span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
+<span class="scilabid">k</span><span class="scilaboperator">=</span><span class="scilabnumber">3</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">knn</span><span class="scilabopenclose">(</span><span class="scilabid">q</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">k</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">q</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
+<span class="scilabid">f</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabdefault">;</span><span class="scilabnumber">2</span><span class="scilabdefault">,</span><span class="scilabnumber">0</span><span class="scilabdefault">;</span><span class="scilabnumber">10</span><span class="scilabdefault">,</span><span class="scilabnumber">10</span><span class="scilabdefault">;</span><span class="scilaboperator">-</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
+<span class="scilabid">k</span><span class="scilaboperator">=</span><span class="scilabnumber">3</span><span class="scilabdefault">;</span>
+<span class="scilabid">algo_type</span><span class="scilaboperator">=</span><span class="scilabnumber">2</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">knn</span><span class="scilabopenclose">(</span><span class="scilabid">q</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">k</span><span class="scilabdefault">,</span><span class="scilabid">algo_type</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">M Avinash Reddy</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="imwarp.html">&lt;&lt; imwarp</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="laplacian.html">laplacian &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/laplacian.html b/help/en_US/scilab_en_US_help/laplacian.html
new file mode 100644
index 0000000..961f625
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/laplacian.html
@@ -0,0 +1,87 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>laplacian</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="knn.html">&lt;&lt; knn</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="medianblur.html">medianblur &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; laplacian</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">laplacian</h1>
+    <p class="refpurpose">The function calculates laplacian of an image</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">inputImage</span><span class="default"> = </span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">source</span> <span class="default">image</span>&#0039;<span class="default">)</span>
+<span class="default">outputImg</span><span class="default"> = </span><span class="functionid">laplacian</span><span class="default">(</span><span class="default">inputImage</span><span class="default"> , </span><span class="default">depth</span><span class="default"> , </span><span class="default">ksize</span><span class="default"> , </span><span class="default">scale</span><span class="default">, </span><span class="default">delta</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">inputImage :</span>
+      <dd><p class="para">source image</p></dd></dt>
+   <dt><span class="term">depth :</span>
+      <dd><p class="para">Depth of the output image</p></dd></dt>
+   <dt><span class="term">ksize :</span>
+      <dd><p class="para">Aperture size</p></dd></dt>
+   <dt><span class="term">scale :</span>
+      <dd><p class="para">Optional scale factor for the computed Laplacian values</p></dd></dt>
+   <dt><span class="term">delta :</span>
+      <dd><p class="para">This value is added to each pixel in the output image</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">Laplacian Operator is also a derivative operator which is used to find edges in an image.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">img</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/lena.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">laplacian</span><span class="scilabopenclose">(</span><span class="scilabid">img</span><span class="scilabdefault">,</span><span class="scilabstring">&#0039;</span><span class="scilabstring">CV_8U</span><span class="scilabstring">&#0039;</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">0</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">Sukul Bagai</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="knn.html">&lt;&lt; knn</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="medianblur.html">medianblur &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/medianblur.html b/help/en_US/scilab_en_US_help/medianblur.html
new file mode 100644
index 0000000..222a083
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/medianblur.html
@@ -0,0 +1,81 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>medianblur</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="laplacian.html">&lt;&lt; laplacian</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="montage.html">montage &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; medianblur</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">medianblur</h1>
+    <p class="refpurpose">Blurs an image using the median filter.</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">inputImage</span><span class="default"> = </span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span>&#0039;<span class="default">)</span>
+<span class="default">outputImg</span><span class="default"> = </span><span class="functionid">medianblur</span><span class="default">(</span><span class="default">inputImage</span><span class="default">,</span><span class="default">ksize</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">inputImage :</span>
+      <dd><p class="para">source image</p></dd></dt>
+   <dt><span class="term">ksize :</span>
+      <dd><p class="para">aperture linear size; it must be odd and greater than 1</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">The function smoothes an image using the median filter with the ksize x ksize aperture.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">inputImage</span> <span class="scilaboperator">=</span> <span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/lena.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">ouputImg</span> <span class="scilaboperator">=</span> <span class="scilabid">medianblur</span><span class="scilabopenclose">(</span><span class="scilabid">inputImage</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">Sukul Bagai</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="laplacian.html">&lt;&lt; laplacian</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="montage.html">montage &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/montage.html b/help/en_US/scilab_en_US_help/montage.html
new file mode 100644
index 0000000..4f0c158
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/montage.html
@@ -0,0 +1,88 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>montage</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="medianblur.html">&lt;&lt; medianblur</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="pana.html">pana &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; montage</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">montage</h1>
+    <p class="refpurpose">Creates a montage of same sized input images</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">out</span><span class="default"> = </span><span class="functionid">montage</span><span class="default">(1,1,</span><span class="default">img1</span><span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">montage</span><span class="default">(1,2,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">montage</span><span class="default">(3,1,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">montage</span><span class="default">(2,2,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">.</span><span class="default">img3</span><span class="default">,</span><span class="default">img4</span><span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">montage</span><span class="default">(1,5,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">,</span><span class="default">img4</span><span class="default">,</span><span class="default">img5</span><span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">montage</span><span class="default">(3,2,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">,</span><span class="default">img4</span><span class="default">,</span><span class="default">img5</span><span class="default">,</span><span class="default">img6</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">rows :</span>
+      <dd><p class="para">number of rows in montage</p></dd></dt>
+   <dt><span class="term">cols :</span>
+      <dd><p class="para">number of columns in montage</p></dd></dt>
+   <dt><span class="term">varargin :</span>
+      <dd><p class="para">variable number of input images</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">The function creates a montage with the list of images. Montage is created row-wise with images taken in order from the list. Note that the following condition should hold true:- no_of_rows*no_of_cols &gt;= no_of_images &gt; (no_of_rows-1)*(no_of_cols)</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">img1</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/lena.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img2</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/monkey.jpeg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">montage</span><span class="scilabopenclose">(</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">2</span><span class="scilabdefault">,</span><span class="scilabid">img1</span><span class="scilabdefault">,</span><span class="scilabid">img2</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">Sukul Bagai , M Avinash Reddy</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="medianblur.html">&lt;&lt; medianblur</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="pana.html">pana &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/pana.html b/help/en_US/scilab_en_US_help/pana.html
new file mode 100644
index 0000000..584d4d2
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/pana.html
@@ -0,0 +1,117 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>pana</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="montage.html">&lt;&lt; montage</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="pclknn.html">pclknn &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; pana</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">pana</h1>
+    <p class="refpurpose">Creates the output panorama image using two or more images</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">stacksize</span><span class="default">(</span>&#0039;<span class="default">max</span>&#0039;<span class="default">)</span>
+<span class="default">img1</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">img2</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">pana</span><span class="default">(</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">)</span>
+<span class="default">img3</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">pana</span><span class="default">(</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">)</span>
+<span class="default">img4</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">pana</span><span class="default">(</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">,</span><span class="default">img4</span><span class="default">)</span>
+<span class="default">img5</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">pana</span><span class="default">(</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">,</span><span class="default">img4</span><span class="default">,</span><span class="default">img5</span><span class="default">)</span>
+<span class="default">img6</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">pana</span><span class="default">(</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">,</span><span class="default">img4</span><span class="default">,</span><span class="default">img5</span><span class="default">,</span><span class="default">img6</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">img1 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img2 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img3 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img4 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img5 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img6 :</span>
+      <dd><p class="para">an image</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">The images pass through a stiching pipeline before the final panorama is formed.
+Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images.
+After this camera parameters are estimated which is required to do particular type of warping.
+After warping is done exposure is compensated in all images so as to get a uniform exposure throughout the panaroma.
+Seam estimation is done next to get the exact portions of images to be blended.
+Finally, the images are blended to form the panorama.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><a class="scilabcommand" href="scilab://stacksize">stacksize</a><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">max</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img1</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">campus_017.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img2</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">campus_016.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img3</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">campus_015.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img4</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">campus_014.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img5</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">campus_013.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img6</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">campus_012.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">pana</span><span class="scilabopenclose">(</span><span class="scilabid">img1</span><span class="scilabdefault">,</span><span class="scilabid">img2</span><span class="scilabdefault">,</span><span class="scilabid">img3</span><span class="scilabdefault">,</span><span class="scilabid">img4</span><span class="scilabdefault">,</span><span class="scilabid">img5</span><span class="scilabdefault">,</span><span class="scilabid">img6</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><a class="scilabcommand" href="scilab://stacksize">stacksize</a><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">max</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">a</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">s1.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">b</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">s2.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">c</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">s3.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">y</span><span class="scilaboperator">=</span><span class="scilabid">pana</span><span class="scilabopenclose">(</span><span class="scilabid">a</span><span class="scilabdefault">,</span><span class="scilabid">b</span><span class="scilabdefault">,</span><span class="scilabid">c</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">M Avinash Reddy , Manoj Sree Harsha , Ebey Abraham</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="montage.html">&lt;&lt; montage</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="pclknn.html">pclknn &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/pclknn.html b/help/en_US/scilab_en_US_help/pclknn.html
new file mode 100644
index 0000000..2c53205
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/pclknn.html
@@ -0,0 +1,87 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>pclknn</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="pana.html">&lt;&lt; pana</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="seamfind.html">seamfind &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; pclknn</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">pclknn</h1>
+    <p class="refpurpose">Finds the k nearest neighbours of the query point q, in the point cloud.</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">pcloud</span><span class="default">=</span><span class="default">pcread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">point</span> <span class="default">cloud</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">pclknn</span><span class="default">(</span><span class="default">pcloud</span><span class="default">,</span><span class="default">q</span><span class="default">,</span><span class="default">k</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">pcloud :</span>
+      <dd><p class="para">a point cloud structure read using pcread function</p></dd></dt>
+   <dt><span class="term">q :</span>
+      <dd><p class="para">a three dimensional query point</p></dd></dt>
+   <dt><span class="term">k :</span>
+      <dd><p class="para">a positive integer specifying the number of nearest neighbours in pcloud for the query point p.</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">out = knn(q,f,k) returns a 2xk matrix .
+The first row of out contains the indices of the k nearest points in the dataset(f) from the query point.
+The second row contains the corresponding distances(squared euclidean distance).</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">q</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">0</span> <span class="scilabnumber">0</span> <span class="scilabnumber">0</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
+<span class="scilabid">data</span><span class="scilaboperator">=</span><span class="scilabid">pcread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">data/cube.ply</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span>
+<span class="scilabid">k</span><span class="scilaboperator">=</span><span class="scilabnumber">3</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">pclknn</span><span class="scilabopenclose">(</span><span class="scilabid">data</span><span class="scilabdefault">,</span><span class="scilabid">q</span><span class="scilabdefault">,</span><span class="scilabid">k</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">M Avinash Reddy</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="pana.html">&lt;&lt; pana</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="seamfind.html">seamfind &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/scilab_code.css b/help/en_US/scilab_en_US_help/scilab_code.css
new file mode 100644
index 0000000..658f42e
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/scilab_code.css
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+ font-style: italic;
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+ color: #ffaa00
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+ font-weight: bold;
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+ font-weight: bold;
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+ font-style: normal;
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+ font-style: normal;
+ color: #4a55db
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diff --git a/help/en_US/scilab_en_US_help/seamfind.html b/help/en_US/scilab_en_US_help/seamfind.html
new file mode 100644
index 0000000..01414ac
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/seamfind.html
@@ -0,0 +1,103 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>seamfind</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="pclknn.html">&lt;&lt; pclknn</a></span>
+
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+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="warp.html">warp &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; seamfind</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">seamfind</h1>
+    <p class="refpurpose">Estimates the seams in input images (which are going to be stitched to form a panaroma)</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">stacksize</span><span class="default">(</span>&#0039;<span class="default">max</span>&#0039;<span class="default">)</span>
+<span class="default">img1</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">img2</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">seamfind</span><span class="default">(</span><span class="default">i</span><span class="default">,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">)</span>
+<span class="default">img3</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">seamfind</span><span class="default">(</span><span class="default">i</span><span class="default">,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">)</span>
+<span class="default">img4</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">seamfind</span><span class="default">(</span><span class="default">i</span><span class="default">,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">,</span><span class="default">img4</span><span class="default">)</span>
+<span class="default">img5</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">seamfind</span><span class="default">(</span><span class="default">i</span><span class="default">,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">,</span><span class="default">img4</span><span class="default">,</span><span class="default">img5</span><span class="default">)</span>
+<span class="default">img6</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">out</span><span class="default"> = </span><span class="functionid">seamfind</span><span class="default">(</span><span class="default">i</span><span class="default">,</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">,</span><span class="default">img3</span><span class="default">,</span><span class="default">img4</span><span class="default">,</span><span class="default">img5</span><span class="default">,</span><span class="default">img6</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">index :</span>
+      <dd><p class="para">index of the estimated image required by the user. It should be between 1 and number of input images.</p></dd></dt>
+   <dt><span class="term">img1 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img2 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img3 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img4 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img5 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img6 :</span>
+      <dd><p class="para">an image</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">This function estimates the seams in images which are going to be blended to form a panaroma image. The output of the function is the binary and of the updated mask and the &#0039;index&#0039;th image.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><a class="scilabcommand" href="scilab://stacksize">stacksize</a><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">max</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img1</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/campus_017.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img2</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/campus_016.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">out</span><span class="scilaboperator">=</span><span class="scilabid">seamfind</span><span class="scilabopenclose">(</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">img1</span><span class="scilabdefault">,</span><span class="scilabid">img2</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">M Avinash Reddy</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="pclknn.html">&lt;&lt; pclknn</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	<span class="next"><a href="warp.html">warp &gt;&gt;</a></span>
+
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/section_363e00d7df9144542914e8298d527a54.html b/help/en_US/scilab_en_US_help/section_363e00d7df9144542914e8298d527a54.html
new file mode 100644
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+++ b/help/en_US/scilab_en_US_help/section_363e00d7df9144542914e8298d527a54.html
@@ -0,0 +1,139 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title></title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="index.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; FOSSEE Image Processing Toolbox</span>
+
+    <br /><br />
+    <h3 class="title-part">FOSSEE Image Processing Toolbox</h3>
+<ul class="list-chapter"><li><a href="bilateralFilter.html" class="refentry">bilateralFilter</a> &#8212; <span class="refentry-description">Applies the bilateral filter to an image</span></li>
+
+
+
+
+
+<li><a href="blend.html" class="refentry">blend</a> &#8212; <span class="refentry-description">Blends two images according to corresponding weights given by the user</span></li>
+
+
+
+
+
+<li><a href="dilate.html" class="refentry">dilate</a> &#8212; <span class="refentry-description">Dilates an image</span></li>
+
+
+
+
+
+<li><a href="gaussianblur.html" class="refentry">gaussianblur</a> &#8212; <span class="refentry-description">Blurs an image using a Gaussian filter</span></li>
+
+
+
+
+
+<li><a href="getTextSize.html" class="refentry">getTextSize</a> &#8212; <span class="refentry-description">Calculates the width and height of a text string</span></li>
+
+
+
+
+
+<li><a href="getgaussiankernel.html" class="refentry">getgaussiankernel</a> &#8212; <span class="refentry-description">Returns Gaussian filter coefficients</span></li>
+
+
+
+
+
+<li><a href="imwarp.html" class="refentry">imwarp</a> &#8212; <span class="refentry-description">The function applies an affine transformation to the input image.</span></li>
+
+
+
+
+
+<li><a href="knn.html" class="refentry">knn</a> &#8212; <span class="refentry-description">Finds the k nearest neighbours of the query point q, in the dataset f</span></li>
+
+
+
+
+
+<li><a href="laplacian.html" class="refentry">laplacian</a> &#8212; <span class="refentry-description">The function calculates laplacian of an image</span></li>
+
+
+
+
+
+<li><a href="medianblur.html" class="refentry">medianblur</a> &#8212; <span class="refentry-description">Blurs an image using the median filter.</span></li>
+
+
+
+
+
+<li><a href="montage.html" class="refentry">montage</a> &#8212; <span class="refentry-description">Creates a montage of same sized input images</span></li>
+
+
+
+
+
+<li><a href="pana.html" class="refentry">pana</a> &#8212; <span class="refentry-description">Creates the output panorama image using two or more images</span></li>
+
+
+
+
+
+<li><a href="pclknn.html" class="refentry">pclknn</a> &#8212; <span class="refentry-description">Finds the k nearest neighbours of the query point q, in the point cloud.</span></li>
+
+
+
+
+
+<li><a href="seamfind.html" class="refentry">seamfind</a> &#8212; <span class="refentry-description">Estimates the seams in input images (which are going to be stitched to form a panaroma)</span></li>
+
+
+
+
+
+<li><a href="warp.html" class="refentry">warp</a> &#8212; <span class="refentry-description">This function maps an image onto a unit sphere located at the origin (center of the image).</span></li></ul>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="index.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
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diff --git a/help/en_US/scilab_en_US_help/warp.html b/help/en_US/scilab_en_US_help/warp.html
new file mode 100644
index 0000000..bf21e30
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/warp.html
@@ -0,0 +1,84 @@
+<html><head>
+    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
+    <title>warp</title>
+    <style type="text/css" media="all">
+      @import url("scilab_code.css");
+      @import url("xml_code.css");
+      @import url("c_code.css");
+      @import url("style.css");
+    </style>
+  </head>
+  <body>
+    <div class="manualnavbar">
+    <table width="100%"><tr>
+      <td width="30%">
+    	<span class="previous"><a href="seamfind.html">&lt;&lt; seamfind</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+
+
+
+    <span class="path"><a href="index.html">FOSSEE Image Processing Toolbox</a> &gt;&gt; <a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a> &gt; warp</span>
+
+    <br /><br />
+    <div class="refnamediv"><h1 class="refname">warp</h1>
+    <p class="refpurpose">This function maps an image onto a unit sphere located at the origin (center of the image).</p></div>
+
+
+<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3>
+   <div class="synopsis"><pre><span class="default">stacksize</span><span class="default">(</span>&#0039;<span class="default">max</span>&#0039;<span class="default">)</span>
+<span class="default">img1</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">img2</span><span class="default">=</span><span class="default">imread</span><span class="default">(</span>&#0039;<span class="default">path</span> <span class="default">of</span> <span class="default">the</span> <span class="default">image</span> <span class="default">file</span>&#0039;<span class="default">)</span>
+<span class="default">[</span><span class="default">out1</span><span class="default">,</span><span class="default">out2</span><span class="default">] = </span><span class="functionid">warp</span><span class="default">(</span><span class="default">img1</span><span class="default">,</span><span class="default">img2</span><span class="default">)</span></pre></div></div>
+
+<div class="refsection"><h3 class="title">Parameters</h3>
+   <dl><dt><span class="term">img1 :</span>
+      <dd><p class="para">an image</p></dd></dt>
+   <dt><span class="term">img2 :</span>
+      <dd><p class="para">an image</p></dd></dt></dl></div>
+
+<div class="refsection"><h3 class="title">Description</h3>
+   <p class="para">The function takes two input images which are part of a panoromic image and outputs the respective masks to be applied on the input images to get a spherical oriented image.
+This is useful in creating a 360 panaroma image.</p>
+   <p class="para"></p></div>
+
+<div class="refsection"><h3 class="title">Examples</h3>
+   <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><a class="scilabcommand" href="scilab://stacksize">stacksize</a><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">max</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img1</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/campus_017.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">img2</span><span class="scilaboperator">=</span><span class="scilabid">imread</span><span class="scilabopenclose">(</span><span class="scilabstring">&#0039;</span><span class="scilabstring">images/campus_016.jpg</span><span class="scilabstring">&#0039;</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabopenclose">[</span><span class="scilabid">out1</span><span class="scilabdefault">,</span><span class="scilabid">out2</span><span class="scilabopenclose">]</span><span class="scilaboperator">=</span><span class="scilabid">warp</span><span class="scilabopenclose">(</span><span class="scilabid">img1</span><span class="scilabdefault">,</span><span class="scilabid">img2</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
+
+<div class="refsection"><h3 class="title">Authors</h3>
+   <ul class="itemizedlist"><li class="member">M Avinash Reddy</li></ul></div>
+    <br />
+
+    <div class="manualnavbar">
+    <table width="100%">
+    <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr>
+<tr>
+      <td width="30%">
+    	<span class="previous"><a href="seamfind.html">&lt;&lt; seamfind</a></span>
+
+      </td>
+      <td width="40%" class="center">
+      	<span class="top"><a href="section_363e00d7df9144542914e8298d527a54.html">FOSSEE Image Processing Toolbox</a></span>
+
+      </td>
+      <td width="30%" class="next">
+      	
+      </td>
+    </tr></table>
+      <hr />
+    </div>
+  </body>
+</html>
diff --git a/help/en_US/scilab_en_US_help/xml_code.css b/help/en_US/scilab_en_US_help/xml_code.css
new file mode 100644
index 0000000..9e4c27f
--- /dev/null
+++ b/help/en_US/scilab_en_US_help/xml_code.css
@@ -0,0 +1,94 @@
+.xmlcomment {
+ font-style: italic;
+ color: #01a801
+}
+
+.xmldefault {
+ font-style: normal;
+ color: #000000
+}
+
+.xmlentity {
+ font-style: normal;
+ color: #ffaa00
+}
+
+.xmlopeninstr {
+ font-style: normal;
+ color: #000000
+}
+
+.xmlcloseinstr {
+ font-style: normal;
+ color: #000000
+}
+
+.xmlinstrname {
+ font-style: normal;
+ color: #9965a6
+}
+
+.xmllowtag {
+ font-style: normal;
+ color: #000000
+}
+
+.xmltagname {
+ font-style: normal;
+ color: #0303ff
+}
+
+.xmllowclose {
+ font-style: normal;
+ color: #000000
+}
+
+.xmlopencomment {
+ font-style: italic;
+ color: #01a801
+}
+
+.xmlcommentend {
+ font-style: italic;
+ color: #01a801
+}
+
+.xmlcomment {
+ font-style: italic;
+ color: #01a801
+}
+
+.xmlopencdata {
+ font-style: normal;
+ color: #c45555
+}
+
+.xmlcdataend {
+ font-style: normal;
+ color: #c45555
+}
+
+.xmlcdata {
+ font-style: normal;
+ color: #000000
+}
+
+.xmlattributename {
+ font-style: normal;
+ color: #9965a6
+}
+
+.xmlequal {
+ font-style: normal;
+ color: #000000
+}
+
+.xmlattributevalue {
+ font-style: normal;
+ color: #973964
+}
+
+.xmlautoclose {
+ font-style: normal;
+ color: #000000
+}
diff --git a/help/en_US/seamfind.xml b/help/en_US/seamfind.xml
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index 0000000..f85801f
--- /dev/null
+++ b/help/en_US/seamfind.xml
@@ -0,0 +1,88 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from seamfind.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="seamfind" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>seamfind</refname>
+    <refpurpose>Estimates the seams in input images (which are going to be stitched to form a panaroma)</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   stacksize('max')
+   img1=imread('path of the image file')
+   img2=imread('path of the image file')
+   out = seamfind(i,img1,img2)
+   img3=imread('path of the image file')
+   out = seamfind(i,img1,img2,img3)
+   img4=imread('path of the image file')
+   out = seamfind(i,img1,img2,img3,img4)
+   img5=imread('path of the image file')
+   out = seamfind(i,img1,img2,img3,img4,img5)
+   img6=imread('path of the image file')
+   out = seamfind(i,img1,img2,img3,img4,img5,img6)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>index :</term>
+      <listitem><para> index of the estimated image required by the user. It should be between 1 and number of input images.</para></listitem></varlistentry>
+   <varlistentry><term>img1 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img2 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img3 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img4 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img5 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img6 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+This function estimates the seams in images which are going to be blended to form a panaroma image. The output of the function is the binary and of the updated mask and the 'index'th image.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+stacksize('max');
+img1=imread('images/campus_017.jpg');
+img2=imread('images/campus_016.jpg');
+out=seamfind(1,img1,img2);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>M Avinash Reddy</member>
+   </simplelist>
+</refsection>
+</refentry>
diff --git a/help/en_US/warp.xml b/help/en_US/warp.xml
new file mode 100644
index 0000000..1e4a518
--- /dev/null
+++ b/help/en_US/warp.xml
@@ -0,0 +1,71 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+ *
+ * This help file was generated from warp.sci using help_from_sci().
+ *
+ -->
+
+<refentry version="5.0-subset Scilab" xml:id="warp" xml:lang="en"
+          xmlns="http://docbook.org/ns/docbook"
+          xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg"
+          xmlns:ns3="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:scilab="http://www.scilab.org"
+          xmlns:db="http://docbook.org/ns/docbook">
+
+  <refnamediv>
+    <refname>warp</refname>
+    <refpurpose>This function maps an image onto a unit sphere located at the origin (center of the image).</refpurpose>
+  </refnamediv>
+
+
+<refsynopsisdiv>
+   <title>Calling Sequence</title>
+   <synopsis>
+   stacksize('max')
+   img1=imread('path of the image file')
+   img2=imread('path of the image file')
+   [out1,out2] = warp(img1,img2)
+   
+   </synopsis>
+</refsynopsisdiv>
+
+<refsection>
+   <title>Parameters</title>
+   <variablelist>
+   <varlistentry><term>img1 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   <varlistentry><term>img2 :</term>
+      <listitem><para> an image</para></listitem></varlistentry>
+   </variablelist>
+</refsection>
+
+<refsection>
+   <title>Description</title>
+   <para>
+The function takes two input images which are part of a panoromic image and outputs the respective masks to be applied on the input images to get a spherical oriented image.
+This is useful in creating a 360 panaroma image.
+   </para>
+   <para>
+</para>
+</refsection>
+
+<refsection>
+   <title>Examples</title>
+   <programlisting role="example"><![CDATA[
+stacksize('max');
+img1=imread('images/campus_017.jpg');
+img2=imread('images/campus_016.jpg');
+[out1,out2]=warp(img1,img2);
+   ]]></programlisting>
+</refsection>
+
+<refsection>
+   <title>Authors</title>
+   <simplelist type="vert">
+   <member>M Avinash Reddy</member>
+   </simplelist>
+</refsection>
+</refentry>
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diff --git a/macros/bilateralFilter.bin b/macros/bilateralFilter.bin
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diff --git a/macros/bilateralFilter.sci b/macros/bilateralFilter.sci
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index 0000000..2c5a7b3
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+++ b/macros/bilateralFilter.sci
@@ -0,0 +1,51 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Priyanka Hiranandani 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function new_image = bilateralFilter(image, d, sigmaColor, sigmaSpace)
+	//Applies the bilateral filter to an image 
+	//
+	//Calling Sequence
+	//image = imread('path of image')
+	//out = bilateralFilter(image, d, sigmaColor, sigmaSpace)
+	//
+	//Parameters
+	//image : source image 
+	//d : Diameter of each pixel neighborhood that is used during filtering
+	//sigmaColor : Filter sigma in the color space
+	//sigmaSpace : Filter sigma in the coordinate space
+	//
+	//Description
+	//bilateralFilter can reduce unwanted noise very well while keeping edges fairly sharp.
+	//A larger value of the sigmaColor parameter means that farther colors within the pixel neighborhood will be mixed together.
+	//A larger value of the sigmaSpace parameter means that farther pixels will influence each other as long as their colors are close enough.	
+	//It is recommended to use d=5 for real-time applications.
+	//For simplicity, you can set the 2 sigma values to be the same.
+	//
+	//Examples
+	//img=imread('images/lena.jpeg');
+	//d=5;
+	//sigmaColor=150;
+	//sigmaSpace=150;
+	//out=bilateralFilter(image, d, sigmaColor, sigmaSpace);
+	//Authors
+	//    Priyanka Hiranandani
+
+	image_list = mattolist(image)
+	
+	out = raw_bilateralfilter(image_list, d, sigmaColor, sigmaSpace)
+	
+	sz = size(out)
+	
+	for i = 1: sz
+		new_image(:, :, i) = out(i)
+	end
+	new_image=double(new_image)
+endfunction
diff --git a/macros/blend.bin b/macros/blend.bin
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diff --git a/macros/blend.sci b/macros/blend.sci
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+++ b/macros/blend.sci
@@ -0,0 +1,46 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: M Avinash Reddy & Manoj Sree Harsha
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [out]=blend(img1,img2,w1,w2)
+	//Blends two images according to corresponding weights given by the user
+	//
+	//Calling Sequence
+	//out = blend(img1,img2,w1,w2)
+	//
+	//Parameters
+	//img1 : first image 
+	//img2 : second image
+	//w1 : a number between 1 and 100 denoting the proportion of the first image in the output 
+	//w2 : a number between 1 and 100 denoting the proportion of the second image in the output
+	//
+	//Description
+	//out = blend(img1,img2,w1,w2) returns a blended image which has size equal to that of first image.
+	//Both the images are resized to same dimensions before blending the images.
+	//Note that the weights are in percentage.
+	//
+	//Examples
+	//w1=40;
+	//w2=60;
+	//img1=imread('images/lena.jpg');
+	//img2=imread('images/monkey.jpg');
+	//out=blend(img1,img2,w1,w2);
+	//Authors
+	//    M Avinash Reddy , Manoj Sree Harsha
+
+	i1=mattolist(img1)
+	i2=mattolist(img2)
+	res=raw_Blend(i1,i2,w1,w2)
+	channel=size(res)
+	for i = 1: channel
+		out(:,:,i) = (res(i))
+	end
+	out=double(out)
+endfunction
diff --git a/macros/dilate.bin b/macros/dilate.bin
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diff --git a/macros/dilate.sci b/macros/dilate.sci
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+++ b/macros/dilate.sci
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+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Sukul Bagai 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [out]=dilate(input_image,actualkernel,anchor_x,anchor_y,iteration)
+	//Dilates an image 
+	//
+	//Calling Sequence
+	//input_image=imread('path of the image')
+	//out = dilate(input_image,actualkernel,anchor_x,anchor_y,iteration)
+	//
+	//Parameters
+	//input_image : source image
+	//actualkernel : structuring element used for dilation
+	//anchor_x : x-coordinate of the anchor within the kernel (default is -1)
+	//anchor_y : y-coordinate of the anchor within the kernel (default is -1)
+	//iteration : number of times dilation is applied
+	//
+	//Description
+	//The function dilates the source image using the specified structuring element(actualkernel) that determines the shape of a pixel neighborhood
+	//
+	//Examples
+	//img = imread('images/lena.jpg');
+	//actualkernel=[1 1 1;1 1 1;1 1 1];
+	//out = dilate(img,actualkernel,-1,-1,1);
+	//Authors
+	//    Sukul Bagai 
+
+    input_image1=mattolist(input_image);
+    a=raw_dilate(input_image1,actualkernel,anchor_x,anchor_y,iteration);
+    dimension=size(a)
+    for i = 1:dimension
+        out(:,:,i)=a(i);
+    end
+endfunction;
diff --git a/macros/gaussianblur.bin b/macros/gaussianblur.bin
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diff --git a/macros/gaussianblur.sci b/macros/gaussianblur.sci
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index 0000000..5fd6204
--- /dev/null
+++ b/macros/gaussianblur.sci
@@ -0,0 +1,39 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Sukul Bagai 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [outputImg]= gaussianblur(inputImage,ksize_height,ksize_width,sigmaX,sigmaY)
+	//Blurs an image using a Gaussian filter
+	//
+	//Calling Sequence
+	//inputImage = imread('path of the image')
+	//outputImg = gaussianblur(inputImage,ksize_height,ksize_width,sigmaX,sigmaY)
+	//
+	//Parameters
+	//inputImage : source image 
+	//ksize_height : Gaussian kernel height. It must be positive and odd.
+	//ksize_width : Gaussian kernel width. It must be positive and odd.
+	//sigmaX : Gaussian kernel standard deviation in X direction.
+	//sigmaY : Gaussian kernel standard deviation in Y direction.
+	//
+	//Description
+	//The function convolves the source image with the specified Gaussian kernel.
+	//
+	//Examples
+	//inputImage = imread('images/lena.jpg');
+	//outputImg = gaussianblur(inputaImage,5,5,1,1);
+	//Authors
+	//    Sukul Bagai
+	inputList=mattolist(inputImage);
+    outputList=raw_gaussianblur(inputList,ksize_height,ksize_width,sigmaX,sigmaY);
+    for i=1:size(outputList)
+       outputImg(:,:,i)=outputList(i)
+   end
+endfunction
diff --git a/macros/getTextSize.bin b/macros/getTextSize.bin
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diff --git a/macros/getTextSize.sci b/macros/getTextSize.sci
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index 0000000..3d4355e
--- /dev/null
+++ b/macros/getTextSize.sci
@@ -0,0 +1,33 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Sukul Bagai , Abhilasha Sancheti
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [textSize,baseLine]= getTextSize(inputtext,fontface,fontscale,thickness)
+	//Calculates the width and height of a text string
+	//
+	//Calling Sequence
+	//[textSize,baseLine]= getTextSize(inputtext,fontface,fontscale,thickness)
+	//
+	//Parameters
+	//inputtext : Input text string
+	//fontface : Font type 
+	//fontscale : Font scale factor that is multiplied by the font-specific base size 
+	//thickness : Thickness of the lines used to draw a text
+	//textSize : Output parameter- The size of a box that contains the specified text
+	//baseLine : Output parameter- y-coordinate of the baseline relative to the bottom-most text point
+	//
+	//Description
+	//The function getTextSize calculates and returns the size of a box that contains the specified text
+	//Examples
+	//[textSize,baseLine]= getTextSize('helloall','FONT_HERSHEY_PLAIN',1,1);
+	//Authors
+	//    Sukul Bagai , Abhilasha Sancheti  
+    [textSize,baseLine]=raw_getTextSize(inputtext,fontface,fontscale,thickness)
+endfunction
diff --git a/macros/getgaussiankernel.bin b/macros/getgaussiankernel.bin
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diff --git a/macros/getgaussiankernel.sci b/macros/getgaussiankernel.sci
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index 0000000..466a5ee
--- /dev/null
+++ b/macros/getgaussiankernel.sci
@@ -0,0 +1,33 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Shubheksha Jalan
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function output = getgaussiankernel(ksize, sigma, ktype)
+	//Returns Gaussian filter coefficients 
+	//
+	//Calling Sequence
+	//output = getgaussiankernel(ksize, sigma, ktype)
+	//
+	//Parameters
+	//ksize : Aperture size. It should be odd and positive.
+	//sigma : Gaussian standard deviation.
+	//ktype : Type of filter coefficients. It can be CV_32f or CV_64F. 
+	//
+	//Description
+	//The function computes and returns the ksize x 1 matrix of Gaussian filter coefficients.
+	//
+	//Examples
+	//output = getgaussiankernel(3,1,'CV_32F');
+	//Authors
+	//    Shubheshka Jalan   
+		
+	output = raw_getgaussiankernel(ksize, sigma, ktype)
+	
+endfunction
diff --git a/macros/imwarp.bin b/macros/imwarp.bin
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diff --git a/macros/imwarp.sci b/macros/imwarp.sci
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index 0000000..98b0f2f
--- /dev/null
+++ b/macros/imwarp.sci
@@ -0,0 +1,42 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: V Srinivas & M Avinash Reddy 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [output] = imwarp(img,m)
+	//The function applies an affine transformation to the input image.
+	// 
+	//Calling Sequence
+	//img=imread('path of the image')
+	//output=imwarp(img,transformation_matrix)
+	//
+	//Parameters
+	//img : Input image 
+	//m : It is the 2X3 transformation matrix.
+	//
+	//Description
+	//The function warpAffine transforms the source image using the specified matrix:
+	// dst(x,y) = src( ( m(1,1)*x + m(1,2)*y + m(1,3) ) , ( m(2,1)*x + m(2,2)*y + m(2,3) ) )	
+	//
+	//Examples
+	//stacksize('max');
+	//img=imread('images/lena.jpg');
+	//m=[1 2 0;2 1 0];
+	//out=imwarp(img,m);
+	//Authors
+	//    V Srinivas , M Avinash Reddy 
+
+	image = mattolist(img);
+	a = raw_imwarp(image,m)
+	channels = size(a)
+	for i=1:channels
+		output(:,:,i) = a(i);
+	end
+	output=double(output)
+endfunction
diff --git a/macros/knn.bin b/macros/knn.bin
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diff --git a/macros/knn.sci b/macros/knn.sci
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index 0000000..5b4da54
--- /dev/null
+++ b/macros/knn.sci
@@ -0,0 +1,67 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: M Avinash Reddy 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [out]=knn(q,f,k,varargin)
+	//Finds the k nearest neighbours of the query point q, in the dataset f 
+	//
+	//Calling Sequence
+	//out = knn(q,f,k)
+	//out = knn(q,f,k,algo_type)
+	//
+	//Parameters
+	//q : a row vector containing the query point 
+	//f : f is the set of data points and the number of columns in f should be same as that of q to match point dimensionality
+	//k : a positive integer specifying the number of nearest neighbours in f for the query point p.
+	//algo_type : a integer between 1 and 4 (both inclusive) specifying the algorithm to be used for the knn search.
+	//
+	//Description
+	//out = knn(q,f,k) returns a 2xk matrix .
+	//The first row of out contains the indices of the k nearest points in the dataset(f) from the query point.
+	//The second row contains the corresponding distances(squared euclidean distance).
+	//algo_type 1 corresponds to linear search algorithm.
+	//algo_type 2 corresponds to search using a set of randomized kd-trees. 
+	//algo_type 3 corresponds to search using hierarchical k-means tree.
+	//algo_type 4 corresponds to combined search using both kd-trees and k-means algorithm.
+	//
+	//Examples
+	//q=[1];
+	//f=[1;2;10;-1];
+	//k=3;
+	//out=knn(q,f,k);
+	//
+	//Examples
+	//q=[1,1];
+	//f=[1,3;2,0;10,10;-1,1];
+	//k=3;
+	//algo_type=2;
+	//out=knn(q,f,k,algo_type);
+	//Authors
+	//    M Avinash Reddy   
+	
+	[lhs rhs]=argn(0)
+
+	if lhs>1
+        	error(msprintf(" Too many output arguments"))
+    	elseif rhs>4
+        	error(msprintf(" Too many input arguments,maximum number of arguments is 4"))
+    	elseif rhs<3
+        	error(msprintf("the function needs atleast 3 arguments"))
+    	end
+
+	f1=mattolist(f)
+	
+	if rhs==3
+		out=raw_knn(q,f1,k)
+	elseif rhs==4
+		out=raw_knn(q,f1,k,varargin(1))
+	end
+
+endfunction
diff --git a/macros/laplacian.bin b/macros/laplacian.bin
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diff --git a/macros/laplacian.sci b/macros/laplacian.sci
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index 0000000..bc8636f
--- /dev/null
+++ b/macros/laplacian.sci
@@ -0,0 +1,41 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Sukul Bagai 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function outputImg = laplacian(inputImage , depth , ksize , scale, delta)
+	//The function calculates laplacian of an image
+	//
+	//Calling Sequence
+	//inputImage = imread('path of the source image')
+	//outputImg = laplacian(inputImage , depth , ksize , scale, delta)
+	//
+	//Parameters
+	//inputImage : source image 
+	//depth : Depth of the output image
+	//ksize : Aperture size	
+	//scale : Optional scale factor for the computed Laplacian values
+	//delta : This value is added to each pixel in the output image
+	//
+	//Description
+	//Laplacian Operator is also a derivative operator which is used to find edges in an image.
+	//
+	//Examples
+	//img=imread('images/lena.jpg');
+	//out=laplacian(img,'CV_8U',3,1,0);
+	//Authors
+	//    Sukul Bagai
+
+    inputList=mattolist(inputImage)
+    outputList=raw_laplacian(inputList , depth , ksize , scale, delta)
+    for i=1:size(outputList)
+        outputImg(:,:,i)=outputList(i)
+    end
+    outputImg=double(outputImg)	
+endfunction
diff --git a/macros/medianblur.bin b/macros/medianblur.bin
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diff --git a/macros/medianblur.sci b/macros/medianblur.sci
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index 0000000..d4bf906
--- /dev/null
+++ b/macros/medianblur.sci
@@ -0,0 +1,37 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Sukul Bagai 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function outputImg= medianblur(inputImage,ksize)
+	//Blurs an image using the median filter. 
+	//
+	//Calling Sequence
+	//inputImage = imread('path of the image')
+	//outputImg = medianblur(inputImage,ksize)
+	//
+	//Parameters
+	//inputImage : source image 
+	//ksize :  aperture linear size; it must be odd and greater than 1
+	//
+	//Description
+	//The function smoothes an image using the median filter with the ksize x ksize aperture. 
+	//
+	//Examples
+	//inputImage = imread('images/lena.jpg');
+	//ouputImg = medianblur(inputImage,3);
+	//Authors
+	//    Sukul Bagai
+
+	inputList=mattolist(inputImage);
+    outputList=raw_medianblur(inputList,ksize)
+    for i=1:size(outputList)
+        outputImg(:,:,i)=outputList(i)
+    end
+endfunction
diff --git a/macros/montage.bin b/macros/montage.bin
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diff --git a/macros/montage.sci b/macros/montage.sci
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index 0000000..26fd974
--- /dev/null
+++ b/macros/montage.sci
@@ -0,0 +1,62 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: Sukul Bagai , M Avinash Reddy 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [out]=montage(rows,cols,varargin)
+	//Creates a montage of same sized input images 
+	//
+	//Calling Sequence
+	//out = montage(1,1,img1)
+	//out = montage(1,2,img1,img2)
+	//out = montage(3,1,img1,img2,img3)
+	//out = montage(2,2,img1,img2.img3,img4)
+	//out = montage(1,5,img1,img2,img3,img4,img5)
+	//out = montage(3,2,img1,img2,img3,img4,img5,img6)
+	//
+	//Parameters
+	//rows : number of rows in montage 
+	//cols : number of columns in montage
+	//varargin : variable number of input images
+	//
+	//Description
+	//The function creates a montage with the list of images. Montage is created row-wise with images taken in order from the list. Note that the following condition should hold true:- no_of_rows*no_of_cols >= no_of_images > (no_of_rows-1)*(no_of_cols)
+	//
+	//Examples
+	//img1=imread('images/lena.jpg');
+	//img2=imread('images/monkey.jpeg');
+	//out=montage(1,2,img1,img2);
+	//Authors
+	//    Sukul Bagai , M Avinash Reddy 
+
+	[lhs rhs]=argn(0)
+
+	for i=1:rhs-2
+		varargin(i)=mattolist(varargin(i))
+	end	
+
+	if rhs==3
+		a=raw_montage(rows,cols,varargin(1));
+	elseif rhs==4
+		a=raw_montage(rows,cols,varargin(1),varargin(2));
+	elseif rhs==5
+		a=raw_montage(rows,cols,varargin(1),varargin(2),varargin(3));
+	elseif rhs==6
+		a=raw_montage(rows,cols,varargin(1),varargin(2),varargin(3),varargin(4)); 
+	elseif rhs==7
+		a=raw_montage(rows,cols,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5)); 
+	elseif rhs==8
+		a=raw_montage(rows,cols,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6));  
+	end
+        dimension=size(a)
+        for i = 1: dimension
+             out(:,:,i)=(a(i));
+        end
+     	out=double(out)
+endfunction;
diff --git a/macros/pclknn.bin b/macros/pclknn.bin
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diff --git a/macros/pclknn.sci b/macros/pclknn.sci
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+++ b/macros/pclknn.sci
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+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: M Avinash Reddy 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [out] = pclknn(pcloud,q,k)
+	//Finds the k nearest neighbours of the query point q, in the point cloud.
+	//
+	//Calling Sequence
+	//pcloud=pcread('path of point cloud file')
+	//out = pclknn(pcloud,q,k)
+	//
+	//
+	//Parameters
+	//pcloud : a point cloud structure read using pcread function
+	//q : a three dimensional query point  
+	//k : a positive integer specifying the number of nearest neighbours in pcloud for the query point p.
+	//
+	//Description
+	//out = knn(q,f,k) returns a 2xk matrix .
+	//The first row of out contains the indices of the k nearest points in the dataset(f) from the query point.
+	//The second row contains the corresponding distances(squared euclidean distance).
+	//
+	//Examples
+	//q=[0 0 0];
+	//data=pcread('data/cube.ply')
+	//k=3;
+	//out=pclknn(data,q,k);
+	//Authors
+	//    M Avinash Reddy   
+
+	if size(q)~=3
+		error(msprintf("Size of the query point must be three"))
+	end
+	data=pcloud.Location
+	out = knn(q,data,k)
+
+endfunction
diff --git a/macros/seamfind.bin b/macros/seamfind.bin
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diff --git a/macros/seamfind.sci b/macros/seamfind.sci
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index 0000000..bc784e8
--- /dev/null
+++ b/macros/seamfind.sci
@@ -0,0 +1,79 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: M Avinash Reddy 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [out] = seamfind(index,varargin)
+	//Estimates the seams in input images (which are going to be stitched to form a panaroma)  
+	//
+	//Calling Sequence
+	//stacksize('max')
+	//img1=imread('path of the image file')
+	//img2=imread('path of the image file')
+	//out = seamfind(i,img1,img2)
+	//img3=imread('path of the image file')
+	//out = seamfind(i,img1,img2,img3)
+	//img4=imread('path of the image file')
+	//out = seamfind(i,img1,img2,img3,img4)
+	//img5=imread('path of the image file')
+	//out = seamfind(i,img1,img2,img3,img4,img5)
+	//img6=imread('path of the image file')
+	//out = seamfind(i,img1,img2,img3,img4,img5,img6)
+	//
+	//Parameters
+	//index : index of the estimated image required by the user. It should be between 1 and number of input images. 
+	//img1 : an image 
+	//img2 : an image
+	//img3 : an image
+	//img4 : an image
+	//img5 : an image
+	//img6 : an image
+	//
+	//Description
+	//This function estimates the seams in images which are going to be blended to form a panaroma image. The output of the function is the binary and of the updated mask and the 'index'th image.
+	//
+	//Examples
+	//stacksize('max');
+	//img1=imread('images/campus_017.jpg');
+	//img2=imread('images/campus_016.jpg');
+	//out=seamfind(1,img1,img2);
+	//Authors
+	//    M Avinash Reddy   
+	
+    	[lhs rhs]=argn(0)
+    	if lhs>1
+        	error(msprintf(" Too many output arguments"))
+	end
+    	if rhs>7
+        	error(msprintf(" Too many input arguments,maximum number of arguments is 7"))
+	end
+    	if rhs<3
+        	error(msprintf("the function needs atleast 3 arguments"))
+    	end
+	for i=1:rhs-1
+		varargin(i)=mattolist(varargin(i))
+	end
+    	if rhs==3
+    		res=raw_seamfind(index,varargin(1),varargin(2))
+    	elseif rhs==4
+       		res=raw_seamfind(index,varargin(1),varargin(2),varargin(3))
+    	elseif rhs==5
+       		res=raw_seamfind(index,varargin(1),varargin(2),varargin(3),varargin(4))
+    	elseif rhs==6
+       		res=raw_seamfind(index,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5))
+    	elseif rhs==7
+       		res=raw_seamfind(index,varargin(1),varargin(2),varargin(3),varargin(4),varargin(5),varargin(6))
+    	end
+
+	channel=size(res)
+	for i = 1: channel
+		out(:,:,i) = (res(i))
+	end
+	out=double(out)
+endfunction
diff --git a/macros/warp.bin b/macros/warp.bin
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diff --git a/macros/warp.sci b/macros/warp.sci
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+++ b/macros/warp.sci
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+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+// Author: M Avinash Reddy 
+// Organization: FOSSEE, IIT Bombay
+// Email: toolbox@scilab.in
+
+function [out1,out2] = warp(img1,img2)
+	//This function maps an image onto a unit sphere located at the origin (center of the image).  
+	//
+	//Calling Sequence
+	//stacksize('max')
+	//img1=imread('path of the image file')
+	//img2=imread('path of the image file')
+	//[out1,out2] = warp(img1,img2)
+	//
+	//Parameters
+	//img1 : an image 
+	//img2 : an image
+	//
+	//Description
+	//The function takes two input images which are part of a panoromic image and outputs the respective masks to be applied on the input images to get a spherical oriented image.
+        //This is useful in creating a 360 panaroma image.
+	//
+	//Examples
+	//stacksize('max');
+	//img1=imread('images/campus_017.jpg');
+	//img2=imread('images/campus_016.jpg');
+	//[out1,out2]=warp(img1,img2);
+	//Authors
+	//    M Avinash Reddy 
+	i1 = mattolist(img1)
+	i2 = mattolist(img2)
+	[res1,res2] = raw_warp(i1,i2)
+	channel = size(res1)
+	for i = 1: channel
+		out1(:,:,i) = (res1(i))
+  	end
+  	channel = size(res2)
+  	for i = 1:channel
+    		out2(:,:,i) = (res2(i))
+	end
+	out1 = double(out1)
+  	out2 = double(out2)
+endfunction
diff --git a/sci_gateway/cpp/opencv_Blend.cpp b/sci_gateway/cpp/opencv_Blend.cpp
new file mode 100644
index 0000000..bc4447a
--- /dev/null
+++ b/sci_gateway/cpp/opencv_Blend.cpp
@@ -0,0 +1,128 @@
+//Author-M Avinash Reddy
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include "opencv2/stitching/detail/blenders.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
+#include <iostream>
+using namespace cv;
+using namespace std;
+extern "C"
+{
+    #include "api_scilab.h"
+    #include "Scierror.h"
+    #include "BOOL.h"
+    #include <localization.h>
+    #include "sciprint.h"
+    #include "../common.h"
+
+int opencv_Blend(char *fname,unsigned long fname_len){
+	SciErr sciErr;
+	int intErr=0;
+	int *piaddrvar1=NULL;
+	int *piaddrvar2=NULL;
+	int *piaddrvar3=NULL;
+	int *piaddrvar4=NULL;
+	double w1=0,w2=0;
+	CheckInputArgument(pvApiCtx, 4, 4); // Checking the number of input and output arguments
+    CheckOutputArgument(pvApiCtx, 1, 1);
+
+    try{
+		Mat image1,image2,image1s,image2s,I;
+    	retrieveImage(image1, 1);
+    	retrieveImage(image2, 2);
+
+	    sciErr = getVarAddressFromPosition(pvApiCtx, 3, &piaddrvar3);
+	    if (sciErr.iErr)
+	    {
+	        printError(&sciErr, 0);
+	        return 0;
+	    }
+	    if ( !isDoubleType(pvApiCtx, piaddrvar3))
+	    {
+	        Scierror(999, _("%s: Wrong type for input argument #%d: A scalar expected.\n"), fname, 3);
+	        return 0;
+	    }
+
+	    intErr = getScalarDouble(pvApiCtx, piaddrvar3,&w1);
+	    if (intErr)
+	    {
+	        
+	        return intErr;
+	    }    
+
+	    sciErr = getVarAddressFromPosition(pvApiCtx, 4, &piaddrvar4);
+	    if (sciErr.iErr)
+	    {
+	        printError(&sciErr, 0);
+	        return 0;
+	    }
+	    if ( !isDoubleType(pvApiCtx, piaddrvar4))
+	    {
+	        Scierror(999, _("%s: Wrong type for input argument #%d: A scalar expected.\n"), fname, 3);
+	        return 0;
+	    }
+
+	    intErr = getScalarDouble(pvApiCtx, piaddrvar4,&w2);
+	    if (intErr)
+	    {
+	        
+	        return intErr;
+	    }	    
+	    if(w1<0 || w1>100){
+			Scierror(999, _("%s:Invalid input argument #%d: Weight should be between 0 and 100\n"), fname,3);
+	        return 0;    	
+	    }
+	    if(w2<0 || w2>100){
+			Scierror(999, _("%s:Invalid input argument #%d: Weight should be between 0 and 100\n"), fname,4);
+	        return 0;    	
+	    }
+
+	    resize(image2,image2,image1.size());  
+
+
+		image1.convertTo(image1s, CV_16S);
+		image2.convertTo(image2s, CV_16S);
+
+		Mat mask1(image1s.size(), CV_8U);
+		mask1(Rect(0, 0, (mask1.cols*w1)/100, mask1.rows)).setTo(255);
+		mask1(Rect((mask1.cols*w1)/100, 0, (mask1.cols*(100-w1))/100, mask1.rows)).setTo(0);
+
+		Mat mask2(image2s.size(), CV_8U);
+		mask2(Rect(0, 0, (mask2.cols*(100-w2))/100, mask2.rows)).setTo(0);
+		mask2(Rect((mask2.cols*(100-w2))/100, 0, (mask2.cols*w2)/100, mask2.rows)).setTo(255);
+
+	    cv::detail::FeatherBlender blender;
+	    blender.prepare(Rect(0, 0, max(image1s.cols, image2s.cols), max(image1s.rows, image2s.rows)));
+	    blender.feed(image1s, mask1, Point(0,0));
+	    blender.feed(image2s, mask2, Point(0,0));
+
+	    Mat result_s, result_mask;
+	    blender.blend(result_s, result_mask);	
+
+	    Mat result; 
+	    result_s.convertTo(result, CV_8U);
+
+
+        string tempstring = type2str(result.type());
+        char *checker;
+        checker = (char *)malloc(tempstring.size() + 1);
+        memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+        returnImage(checker,result,1);
+        free(checker);	
+     }
+
+	catch(cv::Exception& e){
+	 	const char* err=e.what();
+	 	Scierror(999,("%s",err));
+	 } 
+
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx);
+	return 0;
+}
+
+}
\ No newline at end of file
diff --git a/sci_gateway/cpp/opencv_bilateralfilter.cpp b/sci_gateway/cpp/opencv_bilateralfilter.cpp
new file mode 100644
index 0000000..f30d508
--- /dev/null
+++ b/sci_gateway/cpp/opencv_bilateralfilter.cpp
@@ -0,0 +1,119 @@
+/* ==================================================================== */
+/* Author :Priyanka Hiranandani NIT Surat                               */
+/* ==================================================================== */
+/* Syntax : return_image=bilateralFilter(InputArray src, int d, double sigmaColor, double sigmaSpace ) */
+/* ==================================================================== */
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+#include <sciprint.h>
+using namespace cv;
+using namespace std;
+  extern "C"
+  {
+  #include "api_scilab.h"
+  #include "Scierror.h"
+  #include "BOOL.h"
+  #include <localization.h>
+  #include <localization.h>
+  #include "../common.h"
+  int opencv_bilateralfilter(char *fname, unsigned long fname_len)
+    {
+    // Error management variable
+        SciErr sciErr;
+    //variable info
+	int iRows		= 0;
+	int iCols		= 0;
+        int piRows		= 0;
+	int piCols		= 0;
+	int* piAddr		= NULL;
+        int* piAddr2            = NULL;
+        int* piAddr3            = NULL;
+        int* piAddr4            = NULL;
+        int* piAddr5            = NULL;
+        int* piAddr6            = NULL;
+        int* piAddrNew            = NULL;
+	int* piLen		= NULL;
+	double* pstData	        = NULL;
+        int* pstData2    	= NULL;
+        double *rrows;
+        double *rcols;
+        unsigned char *pstDataR = NULL;
+        unsigned char *pstDataG = NULL;
+        unsigned char *pstDataB = NULL;
+        int noofitem;
+        double d;
+        double sigmaColor;
+        double sigmaSpace;
+        int error;
+        // checking input argument
+        CheckInputArgument(pvApiCtx,4,4);
+        //checking output argument
+        CheckOutputArgument(pvApiCtx, 1, 1);
+        //for first argument
+        // get Address of first input
+        try{
+       Mat img;
+       retrieveImage(img,1);
+       img.convertTo(img,CV_8U);
+       //second argument
+             sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
+             if (sciErr.iErr)
+             {
+               printError(&sciErr, 0);
+               return 0;
+             }
+    //this function will fetch value of second argument
+             error=getScalarDouble(pvApiCtx,piAddr2,&d) ;
+             if(error!=0)
+             {
+                 sciprint("error in retrieving second argument");
+             }
+  //third argument
+             sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3);
+             if (sciErr.iErr)
+             {
+                printError(&sciErr, 0);
+                return 0;
+             }
+   //this function will fetch value of third argument
+              error=getScalarDouble(pvApiCtx,piAddr3,&sigmaColor) ;
+              if(error!=0)
+              {
+                 sciprint("error in retrieving second argument");
+              }
+
+ //fourth argument
+             sciErr = getVarAddressFromPosition(pvApiCtx,4,&piAddr4);
+             if (sciErr.iErr)
+             {
+               printError(&sciErr, 0);
+               return 0;
+             }
+//this function will fetch value of fourth argument
+             error=getScalarDouble(pvApiCtx,piAddr4,&sigmaSpace) ;
+             if(error!=0)
+             {
+                 sciprint("error in retrieving second argument");
+             }
+             Mat dst;
+         //calling open cv bilateral filter function
+             bilateralFilter(img,dst,d,sigmaColor,sigmaSpace,BORDER_DEFAULT );
+             string tempstring = type2str(dst.type());
+             char* checker = (char *)malloc(tempstring.size() + 1);
+             memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+             returnImage(checker,dst,1);
+           }
+           catch(cv::Exception& e){
+            const char* err=e.what();
+            sciprint("%s",err);
+           }
+             //returning output variable
+             AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+             ReturnArguments(pvApiCtx);
+             return 0;
+
+}
+}
diff --git a/sci_gateway/cpp/opencv_dilate.cpp b/sci_gateway/cpp/opencv_dilate.cpp
new file mode 100644
index 0000000..9339190
--- /dev/null
+++ b/sci_gateway/cpp/opencv_dilate.cpp
@@ -0,0 +1,130 @@
+/***************************************************
+Author : Sukul Bagai
+***************************************************/
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+#include <math.h>
+using namespace cv;
+using namespace std;
+extern "C"
+{
+  #include "api_scilab.h"
+  #include "Scierror.h"
+  #include "BOOL.h"
+  #include <localization.h>
+  #include <sciprint.h>
+  #include "../common.h"
+
+  int opencv_dilate(char *fname, unsigned long fname_len)
+  {
+
+    SciErr sciErr;
+    int intErr = 0;
+    int iRows=0,iCols=0;
+    int *piLen = NULL;
+    int *piAddr2  = NULL;
+    int *piAddr3  = NULL;
+    int *piAddr4  = NULL;
+    int *piAddr5  = NULL;
+    char **type = NULL;
+    int i,j,k;
+    double anchorX,anchorY,iterations;
+    double *kernel = NULL;
+
+    //checking input argument
+    try{
+    CheckInputArgument(pvApiCtx, 5, 5);
+    CheckOutputArgument(pvApiCtx, 1, 1) ;
+
+    Mat image;
+    retrieveImage(image,1);
+
+    //for kernel
+    sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    sciErr = getMatrixOfDouble(pvApiCtx, piAddr2, &iRows, &iCols, &kernel);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr,0);
+        return 0;
+    }
+
+    double actualkernel[iRows][iCols];
+    for(i=0;i<iRows;i++)
+        for(j=0;j<iCols;j++)
+            actualkernel[i][j]=kernel[(j*iRows)+i];
+        
+    Mat kernelMatrix(iRows,iCols,CV_8U);
+    
+    for(i=0;i<iRows;i++)
+        for(j=0;j<iCols;j++)
+            kernelMatrix.at<uchar>(i,j)=(char)actualkernel[i][j];
+   
+    
+    //for value of anchorX
+    sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr3 ,&anchorX);
+    if(intErr)
+        return intErr;
+
+    //for value of anchorY
+    sciErr = getVarAddressFromPosition(pvApiCtx,4,&piAddr4);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr4 ,&anchorY);
+    if(intErr)
+        return intErr;
+
+    //for value of iterations
+    sciErr = getVarAddressFromPosition(pvApiCtx,5,&piAddr5);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr5 ,&iterations);
+    if(intErr)
+        return intErr;
+
+    Mat new_image(image.rows,image.cols,image.type());
+    Point pt(anchorX,anchorY);
+
+    dilate(image,new_image,kernelMatrix,pt,iterations);
+    
+
+    string tempstring = type2str(new_image.type());
+    char *checker;
+    checker = (char *)malloc(tempstring.size() + 1);
+    memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+    returnImage(checker,new_image,1);
+    free(checker);
+  }
+    catch(cv::Exception& e){
+      const char* err=e.what();
+      Scierror(999,("%s",err));
+    }
+    //Assigning the list as the Output Variable
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx);
+    return 0;
+
+  }
+/* ==================================================================== */
+}
diff --git a/sci_gateway/cpp/opencv_gaussianblur.cpp b/sci_gateway/cpp/opencv_gaussianblur.cpp
new file mode 100644
index 0000000..f81885e
--- /dev/null
+++ b/sci_gateway/cpp/opencv_gaussianblur.cpp
@@ -0,0 +1,132 @@
+/***************************************************
+Author : Sukul Bagai
+****************************************************
+Usage : return_image = gaussianblur(input_image,ksize_height,ksize_width,sigmaX,sigmaY);
+***************************************************/
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+using namespace cv;
+using namespace std;
+extern "C"
+{
+  #include "api_scilab.h"
+  #include "Scierror.h"
+  #include "BOOL.h"
+  #include <localization.h>
+  #include <sciprint.h>
+  #include "../common.h"
+  
+  int opencv_gaussianblur(char *fname, unsigned long fname_len)
+  {
+
+    SciErr sciErr;
+    int intErr = 0;
+    int iRows=0,iCols=0;
+    int *piAddr2  = NULL;
+    int *piAddr3  = NULL;
+    int *piAddr4  = NULL;
+    int *piAddr5  = NULL;
+    int i,j,k;
+    double ksize_width,ksize_height,sigmaX,sigmaY;
+
+    //checking input argument
+    CheckInputArgument(pvApiCtx, 5, 5);
+    CheckOutputArgument(pvApiCtx, 1, 1) ;
+
+    Mat image;
+    retrieveImage(image,1);
+
+    //for value of ksize_height
+    sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr2, &ksize_height);
+    if(intErr)
+        return intErr;
+
+    //for value of ksize_width
+    sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr3, &ksize_width);
+    if(intErr)
+        return intErr;
+
+    //for value of sigmaX
+    sciErr = getVarAddressFromPosition(pvApiCtx,4,&piAddr4);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr4, &sigmaX);
+    if(intErr)
+        return intErr;
+
+    //for value of sigmaY
+    sciErr = getVarAddressFromPosition(pvApiCtx,5,&piAddr5);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr5, &sigmaY);
+    if(intErr)
+        return intErr;
+
+    //applying checks to input parameters, and assigning default values in case of error
+    Mat new_image(image.rows,image.cols,CV_8UC3);
+    if(ksize_height<0)
+    {
+        sciprint("Positive Value Required for Height. 1 value was used instead");
+        ksize_height=1;
+    }
+    if(ksize_width<0)
+    {
+        sciprint("Positive Value Required for Width. 1 value was used instead");
+        ksize_width=1;
+    }
+    if((int)ksize_height%2==0)
+    {
+        ksize_height+=1;
+        sciprint("Odd Value Required for Height. %f value was used instead",&ksize_height);
+    }
+    if((int)ksize_width%2==0)
+    {
+        ksize_width+=1;
+        sciprint("Odd Value Required for Width. %f value was used instead",&ksize_width);
+    }
+
+    //temporary size variable, to use in function
+    Size sz(ksize_height,ksize_width);
+
+    //void GaussianBlur(InputArray src, OutputArray dst, Size ksize, double sigmaX, double sigmaY=0, int borderType=BORDER_DEFAULT )
+    GaussianBlur(image,new_image,sz,sigmaX,sigmaY);
+
+    //returning image
+    string tempstring = type2str(new_image.type());
+    char *checker;
+    checker = (char *)malloc(tempstring.size() + 1);
+    memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+    returnImage(checker,new_image,1);
+    free(checker);
+
+    //Assigning the list as the Output Variable
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx);
+    return 0;
+
+  }
+/* ==================================================================== */
+}
diff --git a/sci_gateway/cpp/opencv_getTextSize.cpp b/sci_gateway/cpp/opencv_getTextSize.cpp
new file mode 100644
index 0000000..8c53553
--- /dev/null
+++ b/sci_gateway/cpp/opencv_getTextSize.cpp
@@ -0,0 +1,197 @@
+/***************************************************
+Author : Sukul Bagai , Abhilasha Sancheti
+****************************************************
+Usage : [size,baseline] = getTextSize("<input text>","<fontface>",fontscale,thickness);
+***************************************************/
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+using namespace cv;
+using namespace std;
+extern "C"
+{
+  #include "api_scilab.h"
+  #include "Scierror.h"
+  #include "BOOL.h"
+  #include <localization.h>
+  #include <sciprint.h>
+  #include "../common.h"
+
+  int opencv_getTextSize(char *fname, unsigned long fname_len)
+  {
+
+    SciErr sciErr;
+    int intErr = 0;
+    int iRows=0,iCols=0;
+    int *piAddr = NULL;
+    int *piAddr2  = NULL;
+    int *piAddr3  = NULL;
+    int *piAddr4  = NULL;
+    int *piLen = NULL;
+    int *piLen2 = NULL;
+    char **pstData = NULL;
+    char **pstData2 = NULL;
+    double font_scale = 0,thickness = 0;
+    int i;
+
+    //checking input argument
+    CheckInputArgument(pvApiCtx, 4, 4);
+    CheckOutputArgument(pvApiCtx, 2, 2) ;
+
+    //for string
+    try{
+    sciErr = getVarAddressFromPosition(pvApiCtx,1,&piAddr);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    //Now, we will retrieve the string from the input parameter. For this, we will require 3 calls
+    //first call to retrieve dimensions
+    sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, NULL, NULL);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    piLen = (int*)malloc(sizeof(int) * iRows * iCols);
+    //second call to retrieve length of each string
+    sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, piLen, NULL);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+    pstData = (char**)malloc(sizeof(char*) * iRows * iCols);
+    for(i = 0 ; i < iRows * iCols ; i++)
+    {
+        pstData[i] = (char*)malloc(sizeof(char) * (piLen[i] + 1));//+ 1 for null termination
+    }
+    //third call to retrieve data
+    sciErr = getMatrixOfString(pvApiCtx, piAddr, &iRows, &iCols, piLen, pstData);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+    //for fontface
+    sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    //Now, we will retrieve the string from the input parameter. For this, we will require 3 calls
+    //first call to retrieve dimensions
+    sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, NULL, NULL);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    piLen2 = (int*)malloc(sizeof(int) * iRows * iCols);
+    //second call to retrieve length of each string
+    sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen2, NULL);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+    pstData2 = (char**)malloc(sizeof(char*) * iRows * iCols);
+    for(i = 0 ; i < iRows * iCols ; i++)
+    {
+        pstData2[i] = (char*)malloc(sizeof(char) * (piLen2[i] + 1));//+ 1 for null termination
+    }
+    //third call to retrieve data
+    sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen2, pstData2);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+    //for value of font scale
+    sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr3, &font_scale);
+    if(intErr)
+        return intErr;
+
+    //for value of thickness
+    sciErr = getVarAddressFromPosition(pvApiCtx,4,&piAddr4);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr4, &thickness);
+    if(intErr)
+        return intErr;
+
+    int fontFace;
+
+    if(strcmp(pstData2[0],"FONT_HERSHEY_SIMPLEX")==0)
+           fontFace = FONT_HERSHEY_SIMPLEX;
+    else if (strcmp(pstData2[0],"FONT_HERSHEY_PLAIN")==0)
+          fontFace= FONT_HERSHEY_PLAIN;
+    else if (strcmp(pstData2[0],"FONT_HERSHEY_DUPLEX")==0)
+          fontFace= FONT_HERSHEY_DUPLEX;
+    else if (strcmp(pstData2[0],"FONT_HERSHEY_COMPLEX")==0)
+          fontFace= FONT_HERSHEY_COMPLEX;
+    else if (strcmp(pstData2[0],"FONT_HERSHEY_TRIPLEX")==0)
+          fontFace = FONT_HERSHEY_TRIPLEX;
+    else if (strcmp(pstData2[0],"FONT_HERSHEY_COMPLEX_SMALL")==0)
+          fontFace = FONT_HERSHEY_COMPLEX_SMALL;
+    else if (strcmp(pstData2[0],"FONT_HERSHEY_SCRIPT_SIMPLEX")==0)
+         fontFace = FONT_HERSHEY_SCRIPT_SIMPLEX;
+    else if (strcmp(pstData2[0],"FONT_HERSHEY_SCRIPT_COMPLEX")==0)
+         fontFace = FONT_HERSHEY_SCRIPT_COMPLEX;
+    else {
+        Scierror(999,("Invalid font type\n"));
+        return 0;
+    }
+    int baseline;
+    Size sz = getTextSize(pstData[0],fontFace,font_scale,thickness,&baseline);
+    double tempsize[2];
+    tempsize[0]=sz.width;
+    tempsize[1]=sz.height;
+    double returnbaseline = (double)baseline;
+
+    sciErr = createMatrixOfDouble(pvApiCtx,nbInputArgument(pvApiCtx)+1,1,2,tempsize);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr,0);
+        return 0;
+    }
+    sciErr = createMatrixOfDouble(pvApiCtx,nbInputArgument(pvApiCtx)+2,1,1,&returnbaseline);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr,0);
+        return 0;
+    }
+
+    }
+    catch(cv::Exception& e){
+     const char* err=e.what();
+     sciprint("%s",err);
+    }
+    //Assigning the list as the Output Variable
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    AssignOutputVariable(pvApiCtx, 2) = nbInputArgument(pvApiCtx) + 2;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx);
+    return 0;
+
+  }
+/* ==================================================================== */
+}
diff --git a/sci_gateway/cpp/opencv_getgaussiankernel.cpp b/sci_gateway/cpp/opencv_getgaussiankernel.cpp
new file mode 100644
index 0000000..cdc5cac
--- /dev/null
+++ b/sci_gateway/cpp/opencv_getgaussiankernel.cpp
@@ -0,0 +1,151 @@
+/********************************************************
+    Author: Shubheksha Jalan
+*********************************************************
+Mat getGaussianKernel(int ksize, double sigma, int ktype=CV_64F )
+********************************************************/
+
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+using namespace cv;
+using namespace std;
+extern "C"
+{
+  #include "api_scilab.h"
+  #include "Scierror.h"
+  #include "BOOL.h"
+  #include <localization.h>
+  #include <sciprint.h>
+  #include "../common.h"
+
+  int opencv_getgaussiankernel(char *fname, unsigned long fname_len)
+  {
+
+    SciErr sciErr;
+    int intErr=0;
+    int iRows=0,iCols=0;
+    int *piLen = NULL;
+    int *piAddr = NULL;
+    int *piAddrNew = NULL;
+    int *piAddr2  = NULL;
+    int *piAddr3  = NULL;
+    double ksize, sigma;
+    char **kType = NULL;
+    int i, j, k;
+
+      //checking input argument
+    CheckInputArgument(pvApiCtx, 3, 3);
+    CheckOutputArgument(pvApiCtx, 1, 1) ;
+
+
+
+    //for value of ksize
+    try{
+    sciErr = getVarAddressFromPosition(pvApiCtx, 1, &piAddr);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+     intErr = getScalarDouble(pvApiCtx, piAddr, &ksize);
+     if(intErr){
+       return intErr;
+     }
+    if(ksize < 0 || (int)ksize % 2 == 0)
+    {
+      Scierror(999, _("%s: Wrong type for input argument #%d:ksize should be positive and odd.\n"), fname, 1);
+      return 0;
+    }
+
+
+    //for first value of size
+    sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+     intErr = getScalarDouble(pvApiCtx, piAddr2, &sigma);
+     if(intErr)
+    {
+        return intErr;
+    }
+    if(sigma<=0){
+      sigma=0.3*((ksize-1)*0.5 - 1) + 0.8;
+    }
+
+    sciErr = getVarAddressFromPosition(pvApiCtx, 3, &piAddr3);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+      //Now, we will retrieve the string from the input parameter. For this, we will require 3 calls
+    //first call to retrieve dimensions
+    sciErr = getMatrixOfString(pvApiCtx, piAddr3, &iRows, &iCols, NULL, NULL);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    piLen = (int*)malloc(sizeof(int) * iRows * iCols);
+    //second call to retrieve length of each string
+    sciErr = getMatrixOfString(pvApiCtx, piAddr3, &iRows, &iCols, piLen, NULL);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+    kType = (char**)malloc(sizeof(char*) * iRows * iCols);
+    for(i = 0 ; i < iRows * iCols ; i++)
+        kType[i] = (char*)malloc(sizeof(char) * (piLen[i] + 1));//+ 1 for null termination
+
+    //third call to retrieve data
+    sciErr = getMatrixOfString(pvApiCtx, piAddr3, &iRows, &iCols, piLen, kType);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+
+    Mat temp;
+
+    if(strcmp(kType[0], "CV_32F") == 0)
+    	temp = getGaussianKernel(ksize, sigma, CV_32F);
+    else if(strcmp(kType[0], "CV_64F") == 0)
+    	temp = getGaussianKernel(ksize, sigma, CV_64F);
+    else{
+      Scierror(999, _("%s: Wrong type for input argument #%d:CV_32F or CV_64F expected.\n"), fname, 3);
+      return 0;
+    }
+     double *m = (double *)malloc(temp.rows*temp.cols*sizeof(double));
+    for(i=0;i<temp.rows;i++)
+    {
+      for(j=0;j<temp.cols;j++)
+      {
+        uchar intensity = temp.at<uchar>(i, j);
+        *(m + i*temp.cols + j) = intensity;
+      }
+    }
+
+    sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1, temp.rows, temp.cols, m);
+  }
+  catch(cv::Exception& e){
+   const char* err=e.what();
+   Scierror(999,("%s",err));
+  }
+	//Assigning the list as the Output Variable
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx);
+    return 0;
+
+  }
+/* ==================================================================== */
+}
diff --git a/sci_gateway/cpp/opencv_imwarp.cpp b/sci_gateway/cpp/opencv_imwarp.cpp
new file mode 100644
index 0000000..1c1a183
--- /dev/null
+++ b/sci_gateway/cpp/opencv_imwarp.cpp
@@ -0,0 +1,114 @@
+/********************************************************
+    Authors: V Srinivas , M Avinash Reddy
+*********************************************************
+   imwarp(image,matrix(2*3))=output.
+********************************************************/
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+
+using namespace cv;
+using namespace std;
+extern "C"
+{
+  #include "api_scilab.h"
+  #include "Scierror.h"
+  #include "BOOL.h"
+  #include <localization.h>
+  #include <sciprint.h>
+  #include "../common.h"
+  
+  int opencv_imwarp(char *fname, unsigned long fname_len)
+  {
+    SciErr sciErr;
+    int intErr=0;
+    int iRows=0,iCols=0;
+    int *piAddr1 = NULL;
+    //int *piAddr2 = NULL;
+    double *tform;
+    int maxx,maxy,minx,miny;
+
+    //checking input argument
+    CheckInputArgument(pvApiCtx, 2, 2);//two arguments 1 takes the image and the other takes the transformation matrix
+    CheckOutputArgument(pvApiCtx, 1, 1);
+
+    try{
+    //retieve Image
+    Mat image;
+    retrieveImage(image,1);
+    //retreive the transformation matrix 
+    sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr1);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return -1;
+    }
+    sciErr = getMatrixOfDouble(pvApiCtx, piAddr1, &iRows, &iCols,&tform);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return -1;
+    }  
+    if(iRows!=2 || iCols!=3)//checking if the transformation matrix is of the desired size
+    {
+        sciprint("Please enter a valid transformation matrix");
+        return -1;
+    }
+    Mat dst;
+    //This and the next few lines are dedicated to finding the size of the frame in which the whole transformed image can be viewed.
+    double x [4]={0,0,image.cols-1,image.cols-1};
+    double y [4]={0,image.rows-1,0,image.rows-1};
+    int modx[4];
+    int mody[4];
+    for(int i=0;i<4;i++)// the modifications performed by the matrix is performed on the edges of the image to find the optimum size. This works as the transformation is linear so the edges always are on the extreme points. 
+    {
+        modx[i]=(int)(tform[0] * x[i] + tform[2] * y[i] + tform[4]);
+        mody[i]=(int)(tform[1] * x[i] + tform[3] * y[i] + tform[5]);
+        //cout<<*(modx+i)<<" "<<*(mody+i)<<endl;
+    }
+    Mat trans=(Mat_<double>(2,3)<<tform[0],tform[2],tform[4],tform[1],tform[3],tform[5]);//creating a matrix of type Mat.
+
+    minx=modx[0];maxx=modx[0];miny=mody[0];maxy=mody[0];
+    for(int i=0;i<4;i++)//used to find the maximum and minimum of image coordinates.
+    {
+        if(modx[i]<minx)
+        	{minx=modx[i];}
+        if(modx[i]>maxx)
+        	{maxx=modx[i];}
+        if(mody[i]<miny)
+        	{miny=mody[i];}
+        if(mody[i]>maxy)
+        	{maxy=mody[i];}
+    }
+    warpAffine(image,dst,trans,Size(maxx-minx,maxy-miny));
+    string tempstring = type2str(dst.type());
+    char *checker;
+    checker = (char *)malloc(tempstring.size() + 1);
+    memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+    returnImage(checker,dst,1); 
+    free(checker);
+	}
+
+
+	catch(cv::Exception& e){
+      const char* err=e.what();
+      Scierror(999,("%s",err));
+    }    
+
+
+
+
+    //Assigning the list as the Output Variable
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx); 
+    return 0;
+    
+
+
+ }
+
+}
diff --git a/sci_gateway/cpp/opencv_knn.cpp b/sci_gateway/cpp/opencv_knn.cpp
new file mode 100644
index 0000000..8949aa9
--- /dev/null
+++ b/sci_gateway/cpp/opencv_knn.cpp
@@ -0,0 +1,225 @@
+//Author- M Avinash Reddy
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include "opencv2/flann/flann.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
+#include <iostream>
+using namespace cv;
+using namespace std;
+extern "C"
+{
+    #include "api_scilab.h"
+    #include "Scierror.h"
+    #include "BOOL.h"
+    #include <localization.h>
+    #include "sciprint.h"
+    #include "../common.h"
+
+int opencv_knn(char *fname, unsigned long fname_len){
+
+
+  SciErr sciErr;
+	int intErr=0;
+	int *piaddrvar1=NULL;
+	int *piaddrvar2=NULL;
+	int *piaddrvar3=NULL;
+	int *piaddrvar4=NULL;
+
+	double *qpoint=NULL; // contains the query point
+	double k=0,algo=0;          // k nearest neighbours
+	int r1=0,c1=0;
+	int i,j,l,count,n;
+	double *result=NULL;  // output matrix containing the indices(of nearest neighbours) and the corresponding distances
+
+    CheckInputArgument(pvApiCtx, 3, 4); // Checking the number of input and output arguments
+    CheckOutputArgument(pvApiCtx, 1, 1);
+    	/* get Address of inputs */
+    n=*getNbInputArgument(pvApiCtx);
+    sciErr = getVarAddressFromPosition(pvApiCtx, 1, &piaddrvar1);
+
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+     /* Check that the first input argument is a real matrix (and not complex) */
+    if ( !isDoubleType(pvApiCtx, piaddrvar1) ||  isVarComplex(pvApiCtx, piaddrvar1) )
+    {
+        Scierror(999, _("%s: Wrong type for input argument #%d: A real vector expected.\n"), fname, 1);
+        return 0;
+    }
+
+    sciErr = getMatrixOfDouble(pvApiCtx, piaddrvar1, &r1, &c1, &qpoint);
+
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+
+    try{
+    	Mat image,I;
+
+    	Mat image1;
+    	retrieveImage(image, 2);  // the input image or hypermatrix by the user is loaded into image(Mat container)
+
+
+    	if(c1!=image.cols){
+			Scierror(999, _("%s: Invalid input argument #%d: The dimensions of query point should be same as that of the data points\n"), fname,1);
+        	return 0;
+    	}
+    	Mat final_gray;
+    	if(image.channels()>1){
+
+    	image.convertTo(I,CV_32F);  //cvtColor works only for particular depths
+    //sciprint("%d\n",I.type());
+
+    	cvtColor(I,final_gray,COLOR_BGR2GRAY);
+    //sciprint("%d\n",final_gray.type());
+    	final_gray.convertTo(image1,CV_64F);
+
+
+    	}
+    	else{
+
+    		image.convertTo(image1,CV_64F);
+
+    	}
+
+    	Mat qpoi=Mat(1,image1.cols,CV_64F);
+    	for(i=0;i<image1.cols;i++){
+    		qpoi.at<double>(0,i)=qpoint[i];   //converting query point into a Mat container
+    	}
+
+
+
+
+
+	    sciErr = getVarAddressFromPosition(pvApiCtx, 3, &piaddrvar3);
+	    if (sciErr.iErr)
+	    {
+	        printError(&sciErr, 0);
+	        return 0;
+	    }
+	    if ( !isDoubleType(pvApiCtx, piaddrvar3))
+	    {
+	        Scierror(999, _("%s: Wrong type for input argument #%d: A scalar expected.\n"), fname, 3);
+	        return 0;
+	    }
+
+	    intErr = getScalarDouble(pvApiCtx, piaddrvar3,&k);
+	    if (intErr)
+	    {
+
+	        return intErr;
+	    }
+
+      if(n==4){
+
+  	    sciErr = getVarAddressFromPosition(pvApiCtx, 4, &piaddrvar4);
+  	    if (sciErr.iErr)
+  	    {
+  	        printError(&sciErr, 0);
+  	        return 0;
+  	    }
+  	    if ( !isDoubleType(pvApiCtx, piaddrvar4))
+  	    {
+  	        Scierror(999, _("%s: Wrong type for input argument #%d: A scalar expected.\n"), fname, 3);
+  	        return 0;
+  	    }
+
+  	    intErr = getScalarDouble(pvApiCtx, piaddrvar4,&algo);
+  	    if (intErr)
+  	    {
+
+  	        return intErr;
+  	    }
+
+      }
+      else{
+        algo=1;
+      }
+
+	    if(r1!=1){
+			Scierror(999, _("%s: Wrong type for input argument #%d: A vector is expected\n"), fname,1);
+	        return 0;
+	    }
+	    if(algo<1 || algo>4){
+			Scierror(999, _("%s: Invalid input argument #%d: A number between 1 and 4 is expected.(set 1 for default linearsearch)\n"), fname,4);
+	        return 0;
+	    }
+
+	    if(k>image1.rows){
+			Scierror(999, _("%s: Invalid input argument #%d: K shouldn't exceed the number of rows in the matrix\n"), fname,3);
+	        return 0;
+	    }
+	    if(k<0){
+			Scierror(999, _("%s: Invalid input argument #%d: K cannot be negative\n"), fname,3);
+	        return 0;
+	    }
+
+   		//Creating a new object of class GenericIndex
+   		//the index will perform a linear,brute-force search
+   		//the distance type used is euclidian distance(L2)
+   		Mat indices=Mat(1,k,CV_32S); //contains the indices of the k nearest neighbours
+	    Mat dists=Mat(1,k,CV_64F);
+
+	    if(algo==1){
+	    	cv::flann::GenericIndex< cvflann::L2<double> > index(image1,cvflann::LinearIndexParams(),cvflann::L2<double>());
+	    	index.knnSearch(qpoi, indices, dists, k,cvflann::SearchParams()); //OpenCV function is called
+	    }
+
+	    else if(algo==2){
+	    	cv::flann::GenericIndex< cvflann::L2<double> > index(image1,cvflann::KDTreeIndexParams(),cvflann::L2<double>());
+	    	index.knnSearch(qpoi, indices, dists, k,cvflann::SearchParams()); //OpenCV function is called
+	    }
+
+	    else if(algo==3){
+	    	cv::flann::GenericIndex< cvflann::L2<double> > index(image1,cvflann::KMeansIndexParams(),cvflann::L2<double>());
+	    	index.knnSearch(qpoi, indices, dists, k,cvflann::SearchParams()); //OpenCV function is called
+	    }
+
+	    else{
+	    	cv::flann::GenericIndex< cvflann::L2<double> > index(image1,cvflann::CompositeIndexParams(),cvflann::L2<double>());
+	    	index.knnSearch(qpoi, indices, dists, k,cvflann::SearchParams()); //OpenCV function is called
+	    }
+
+	    result=(double*)malloc(sizeof(double)*2*k);
+	    count=0;
+
+	    for (i=0;i<2*k;i++){
+	     	if(i%2==0){
+	     		result[i]=(double)indices.at<int>(0,count);
+	     	}
+	     	else{
+	     		result[i]=dists.at<double>(0,count);
+	     		count=count+1;
+	     	}
+	    }
+
+
+
+	 }
+	 catch(cv::Exception& e){
+	 	const char* err=e.what();
+	 	sciprint("%s",err);
+	 }
+
+	sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1,2,k,result); //creating the output matrix
+	if (sciErr.iErr){
+	    printError(&sciErr, 0);
+	    return sciErr.iErr;
+	}
+
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    ReturnArguments(pvApiCtx);
+    return 0;
+
+}
+
+
+}
diff --git a/sci_gateway/cpp/opencv_laplacian.cpp b/sci_gateway/cpp/opencv_laplacian.cpp
new file mode 100644
index 0000000..d76a5ec
--- /dev/null
+++ b/sci_gateway/cpp/opencv_laplacian.cpp
@@ -0,0 +1,157 @@
+/********************************************************
+    Author: Sukul Bagai
+*********************************************************
+   return_image = laplacian(input_image , depth , ksize , scale, delta);
+********************************************************/
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+using namespace cv;
+using namespace std;
+extern "C"
+{
+  #include "api_scilab.h"
+  #include "Scierror.h"
+  #include "BOOL.h"
+  #include <localization.h>
+  #include <sciprint.h>
+  #include "../common.h"
+
+  int opencv_laplacian(char *fname, unsigned long fname_len)
+  {
+
+    SciErr sciErr;
+    int intErr=0;
+    int iRows=0,iCols=0;
+    int *piLen = NULL;
+    int *piAddr = NULL;
+    int *piAddrNew = NULL;
+    int *piAddr2  = NULL;
+    int *piAddr3  = NULL;
+    int *piAddr4  = NULL;
+    int *piAddr5  = NULL;
+    int *piAddr6 = NULL;
+    int *piAddr7 = NULL;
+    char **ddepth = NULL;
+    int i,j,k;
+    double ksize,scale,delta;
+
+
+    //checking input argument
+    CheckInputArgument(pvApiCtx, 5, 5);
+    CheckOutputArgument(pvApiCtx, 1, 1) ;
+
+    Mat image;
+    retrieveImage(image,1);
+    image.convertTo(image,CV_8U);
+
+    sciErr = getVarAddressFromPosition(pvApiCtx, 2, &piAddr2);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    //Now, we will retrieve the string from the input parameter. For this, we will require 3 calls
+    //first call to retrieve dimensions
+    sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, NULL, NULL);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    piLen = (int*)malloc(sizeof(int) * iRows * iCols);
+    //second call to retrieve length of each string
+    sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen, NULL);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+    ddepth = (char**)malloc(sizeof(char*) * iRows * iCols);
+    for(i = 0 ; i < iRows * iCols ; i++)
+        ddepth[i] = (char*)malloc(sizeof(char) * (piLen[i] + 1));//+ 1 for null termination
+    //third call to retrieve data
+    sciErr = getMatrixOfString(pvApiCtx, piAddr2, &iRows, &iCols, piLen, ddepth);
+    if(sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+
+    //for value of ksize
+    sciErr = getVarAddressFromPosition(pvApiCtx,3,&piAddr3);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr3 ,&ksize);
+    if(intErr)
+        return intErr;
+
+    //for value of scale
+    sciErr = getVarAddressFromPosition(pvApiCtx,4,&piAddr4);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr4,&scale);
+    if(intErr)
+        return intErr;
+
+    //for value of delta
+    sciErr = getVarAddressFromPosition(pvApiCtx,5,&piAddr5);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr5 ,&delta);
+    if(intErr)
+        return intErr;
+
+
+    Mat new_image(image.rows,image.cols,CV_8UC3);
+    if((int)ksize!=1 && (int)ksize!=3 && (int)ksize!=5 && (int)ksize!=7)
+    {
+        sciprint("Value of 1,3,5,7 Required for ksize. Default value of 3 was used instead");
+        ksize=3;
+    }
+
+    if(strcmp(ddepth[0],"CV_8U")==0)
+        Laplacian(image,new_image,CV_8U,ksize,scale,delta);
+    else if(strcmp(ddepth[0],"CV_16U")==0)
+        Laplacian(image,new_image,CV_16U,ksize,scale,delta);
+    else if(strcmp(ddepth[0],"CV_16S")==0)
+        Laplacian(image,new_image,CV_16S,ksize,scale,delta);
+    else if(strcmp(ddepth[0],"CV_32F")==0)
+        Laplacian(image,new_image,CV_32F,ksize,scale,delta);
+    else if(strcmp(ddepth[0],"CV_64F")==0)
+        Laplacian(image,new_image,CV_64F,ksize,scale,delta);
+    else
+    {
+       Laplacian(image,new_image,CV_8U,ksize,scale,delta);
+       sciprint("Wrong depth given,using CV_8U instead");
+    }
+
+    string tempstring = type2str(new_image.type());
+    char *checker;
+    checker = (char *)malloc(tempstring.size() + 1);
+    memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+    returnImage(checker,new_image,1);
+    free(checker);
+
+    //Assigning the list as the Output Variable
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx);
+    return 0;
+
+  }
+/* ==================================================================== */
+}
diff --git a/sci_gateway/cpp/opencv_medianblur.cpp b/sci_gateway/cpp/opencv_medianblur.cpp
new file mode 100644
index 0000000..6e26ff2
--- /dev/null
+++ b/sci_gateway/cpp/opencv_medianblur.cpp
@@ -0,0 +1,88 @@
+/********************************************************
+    Author: Sukul Bagai
+********************************************************/
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+using namespace cv;
+using namespace std;
+extern "C"
+{
+  #include "api_scilab.h"
+  #include "Scierror.h"
+  #include "BOOL.h"
+  #include <localization.h>
+  #include <sciprint.h>
+  #include "../common.h"
+
+  int opencv_medianblur(char *fname, unsigned long fname_len)
+  {
+
+    SciErr sciErr;
+    int intErr = 0;
+    int iRows=0,iCols=0;
+    int *piAddr = NULL;
+    int *piAddrNew = NULL;
+    int *piAddr2  = NULL;
+    int *piAddr3  = NULL;
+    int *piAddr4  = NULL;
+    int *piAddr5  = NULL;
+    int i,j,k;
+    double ksize;
+
+    //checking input argument
+    CheckInputArgument(pvApiCtx, 2, 2);
+    CheckOutputArgument(pvApiCtx, 1, 1) ;
+    
+    try{
+    Mat image,new_image;
+    retrieveImage(image, 1);
+    image.convertTo(image,CV_8U);
+    //for value of ksize
+    sciErr = getVarAddressFromPosition(pvApiCtx,2,&piAddr2);
+    if (sciErr.iErr)
+    {
+        printError(&sciErr, 0);
+        return 0;
+    }
+    intErr = getScalarDouble(pvApiCtx, piAddr2, &ksize);
+    if(intErr)
+    {
+        return intErr;
+    }
+
+    new_image=image.clone();
+
+    //checking input parameters
+    if((int)ksize != 1 && (int)ksize != 3 && (int)ksize != 5 && (int)ksize != 7)
+    {
+        sciprint("Value of 1,3,5,7 Required for ksize. Default value of 3 was used instead");
+        ksize = 3;
+    }
+
+    medianBlur(image,new_image,ksize);
+
+
+    string tempstring = type2str(new_image.type());
+    char *checker;
+    checker = (char *)malloc(tempstring.size() + 1);
+    memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+    returnImage(checker,new_image,1);
+    free(checker);
+    }
+    catch(cv::Exception& e){
+      const char* err=e.what();
+      Scierror(999,("%s",err));
+    }
+    //Assigning the list as the Output Variable
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx);
+    return 0;
+
+  }
+/* ==================================================================== */
+}
diff --git a/sci_gateway/cpp/opencv_montage.cpp b/sci_gateway/cpp/opencv_montage.cpp
new file mode 100644
index 0000000..2725ba8
--- /dev/null
+++ b/sci_gateway/cpp/opencv_montage.cpp
@@ -0,0 +1,161 @@
+/***************************************************
+Author : Sukul Bagai & M Avinash Reddy
+Creates a montage with 1-6 input images
+***************************************************/
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include <iostream>
+using namespace cv;
+using namespace std;
+extern "C"
+{
+    #include "api_scilab.h"
+    #include "Scierror.h"
+    #include "BOOL.h"
+    #include <localization.h>
+    #include "sciprint.h"
+    #include "../common.h"
+
+int opencv_montage(char *fname, unsigned long fname_len)
+{
+    SciErr sciErr;
+    int iLen        = 0;
+    //variable info
+    int iRows       = 0;
+    int iCols       = 0;
+    int *piAddr     = NULL;
+    int *piAddr2     = NULL;
+    int *piAddr3     = NULL;
+    int *piAddrChild = NULL;
+    int *piAddrNew  = NULL;
+    int piRows      = 0;
+    int piCols      = 0;        
+    int *piLen      = NULL;
+    char **pstData  = NULL;
+    int **pstData1  = NULL;
+    int i,j,k=0,iItem=0,height,width,intErr=0,l,num;
+    double new_rows,new_cols;
+    unsigned char *pstDataR = NULL;
+    unsigned char *pstDataG = NULL;
+    unsigned char *pstDataB = NULL;
+
+    CheckInputArgument(pvApiCtx, 3, 8);
+    CheckOutputArgument(pvApiCtx, 1, 1) ;
+    
+
+    try{
+    
+    num=*getNbInputArgument(pvApiCtx);
+    num=num-2;
+    iItem=num;
+    vector<Mat> image;
+    for(l=0;l<num;l++){
+    	Mat tempimage;
+    	retrieveImage(tempimage,l+3);
+    	tempimage.convertTo(tempimage,CV_8U);
+    	image.push_back(tempimage);
+    }
+
+
+
+
+	sciErr = getVarAddressFromPosition(pvApiCtx, 1, &piAddr2);
+      if (sciErr.iErr)
+      {
+          printError(&sciErr, 0);
+          return 0;
+      }
+      if ( !isDoubleType(pvApiCtx, piAddr2))
+      {
+          Scierror(999, _("%s: Wrong type for input argument #%d: A scalar expected.\n"), fname, 1);
+          return 0;
+      }
+      intErr = getScalarDouble(pvApiCtx, piAddr2,&new_rows);
+      if (intErr)
+      {
+          return intErr;
+      }
+
+	sciErr = getVarAddressFromPosition(pvApiCtx, 2, &piAddr3);
+      if (sciErr.iErr)
+      {
+          printError(&sciErr, 0);
+          return 0;
+      }
+      if ( !isDoubleType(pvApiCtx, piAddr3))
+      {
+          Scierror(999, _("%s: Wrong type for input argument #%d: A scalar expected.\n"), fname, 2);
+          return 0;
+      }
+      intErr = getScalarDouble(pvApiCtx, piAddr3,&new_cols);
+      if (intErr)
+      {
+          return intErr;
+      }
+
+    for(i=1;i<iItem;i++)
+    {
+        if((image[i].rows != image[i-1].rows) || (image[i].cols != image[i-1].cols))
+        {
+            Scierror(999,("Images not of same size. Montage did not take place\n"));
+            return 0;
+        }
+    }
+    if( ((new_rows-1)*new_cols >= iItem) || ((new_rows*new_cols) < iItem) )
+    {
+        Scierror(999,("Given Row and Column Dimensions do not match with number of images in list. Montage cannot be created. Please check arguments\n"));
+        return 0;
+    }
+    height=new_rows*image[0].rows;
+    width=new_cols*image[0].cols;
+
+    Mat new_image(height,width,CV_8UC3);
+    
+    k=0;
+    
+    for(int x=0;x<new_rows;x++)
+    {
+        for(int y=0;y<new_cols;y++)
+        {
+
+            if(k<iItem)
+            {
+                for(i=0;i<image[x+y].rows;i++)
+                {
+                    for(j=0;j<image[x+y].cols;j++)
+                    {
+           				new_image.at<Vec3b>(image[k].rows*x+i,image[k].cols*y+j)[2]=image[k].at<Vec3b>(i,j)[2];
+                        new_image.at<Vec3b>(image[k].rows*x+i,image[k].cols*y+j)[1]=image[k].at<Vec3b>(i,j)[1];
+                        new_image.at<Vec3b>(image[k].rows*x+i,image[k].cols*y+j)[0]=image[k].at<Vec3b>(i,j)[0];
+                    }
+                }
+            }
+            k++;
+        }
+    }
+   
+
+    string tempstring = type2str(new_image.type());
+    char *checker;
+    checker = (char *)malloc(tempstring.size() + 1);
+    memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+    returnImage(checker,new_image,1);
+    free(checker);
+	}
+
+	catch(cv::Exception& e){
+		const char* err=e.what();
+		Scierror(999,("%s",err));
+	}
+    //Assigning the list as the Output Variable
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx);
+
+    return 0;
+}
+/* ==================================================================== */
+}
diff --git a/sci_gateway/cpp/opencv_seamfind.cpp b/sci_gateway/cpp/opencv_seamfind.cpp
new file mode 100644
index 0000000..8a549b3
--- /dev/null
+++ b/sci_gateway/cpp/opencv_seamfind.cpp
@@ -0,0 +1,266 @@
+//Author- M Avinash Reddy
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include "opencv2/stitching/detail/blenders.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
+#include <opencv2/stitching/detail/blenders.hpp>
+#include <opencv2/stitching/detail/camera.hpp>
+#include <opencv2/stitching/detail/exposure_compensate.hpp>
+#include <opencv2/stitching/detail/matchers.hpp>
+#include <opencv2/stitching/detail/motion_estimators.hpp>
+#include <opencv2/stitching/detail/seam_finders.hpp>
+#include <opencv2/stitching/detail/util.hpp>
+#include <opencv2/stitching/detail/warpers.hpp>
+#include <opencv2/stitching/warpers.hpp>
+#include <iostream>
+using namespace std;
+using namespace cv;
+using namespace cv::detail;
+extern "C"
+{
+  #include "api_scilab.h"
+  #include "Scierror.h"
+  #include "BOOL.h"
+  #include <localization.h>
+  #include "sciprint.h"
+  #include "../common.h"
+
+int opencv_seamfind(char *fname,unsigned long fname_len){
+
+		  SciErr sciErr;
+		  CheckInputArgument(pvApiCtx, 3, 7);
+   		CheckOutputArgument(pvApiCtx, 1, 1);
+      int *piaddrvar=NULL;
+      double choice=0;
+   		int num,i,j,intErr;
+      double scale = 1;
+      bool do_wave_correct = true;
+      int expos_comp_type = ExposureCompensator::GAIN_BLOCKS;
+      string seam_find_type = "gc_color";
+      float blend_strength = 5;
+      float match_conf = 0.3f;
+      float conf_thresh = 1.f;
+      WaveCorrectKind wave_correct_type = WAVE_CORRECT_HORIZ;
+
+
+
+      num=*getNbInputArgument(pvApiCtx);
+      num=num-1;
+      sciErr = getVarAddressFromPosition(pvApiCtx, 1, &piaddrvar);
+      if (sciErr.iErr)
+      {
+          printError(&sciErr, 0);
+          return 0;
+      }
+      if ( !isDoubleType(pvApiCtx, piaddrvar))
+      {
+          Scierror(999, _("%s: Wrong type for input argument #%d: A scalar expected.\n"), fname, 1);
+          return 0;
+      }
+
+      intErr = getScalarDouble(pvApiCtx, piaddrvar,&choice);
+      if (intErr)
+      {
+
+          return intErr;
+      }
+      if(choice<1 || choice>num){
+            Scierror(999, _("%s:Invalid input argument #%d: Choice has to be between 1 and %d\n"), fname,1,num);
+            return 0;
+      }
+      try{
+      vector<Size> full_img_sizes(num);
+   		vector<Mat> images(num);
+      vector<Mat> imagescopy(num);
+
+      Ptr<FeaturesFinder> finder;
+      finder = makePtr<SurfFeaturesFinder>();
+
+      vector<ImageFeatures> features(num);
+      Mat image1,img;
+   		for(i=0;i<num;i++){
+
+			  retrieveImage(image1, i+2);
+
+        image1.convertTo(image1,CV_8U);
+        //sciprint("%d",image1.type());
+        resize(image1, img, Size(), scale, scale);
+			  images[i]=img.clone();
+        imagescopy[i]=img.clone();
+
+        full_img_sizes.push_back(image1.size());
+        (*finder)(img, features[i]);
+        features[i].img_idx = i;
+        //cout << "Features in image #" << i+1 << " are : " <<features[i].keypoints.size() << endl;
+    	}
+
+
+      //imwrite("/home/avinashr175/Desktop/output.jpg",images[0]);
+      finder->collectGarbage();
+      image1.release();
+      img.release();
+
+
+      vector<MatchesInfo> pairwise_matches;
+      BestOf2NearestMatcher matcher(false, match_conf);
+      matcher(features, pairwise_matches);
+      matcher.collectGarbage();
+
+
+      vector<int> indices = leaveBiggestComponent(features, pairwise_matches, conf_thresh);
+      //cout<<indices.size()<<endl;
+      vector<Mat> img_subset;
+      //vector<String> img_names_subset;
+      vector<Size> full_img_sizes_subset;
+      for (i = 0; i < indices.size(); ++i)
+      {
+      //img_names_subset.push_back(img_names[indices[i]]);
+      img_subset.push_back(images[indices[i]]);
+      full_img_sizes_subset.push_back(full_img_sizes[indices[i]]);
+      }
+
+      images = img_subset;
+      full_img_sizes = full_img_sizes_subset;
+
+
+      HomographyBasedEstimator estimator;
+      vector<CameraParams> cameras;
+
+      if (!estimator(features, pairwise_matches, cameras)){
+        sciprint("Homography estimation failed.\n");
+        return 0;
+      }
+      for (i = 0; i < cameras.size(); ++i)
+      {
+      Mat R;
+      cameras[i].R.convertTo(R, CV_32F);
+      cameras[i].R = R;
+      //cout << "Initial intrinsic #" << indices[i]+1 << ":\n" <<cameras[i].K() << endl;
+      }
+
+      Ptr<BundleAdjusterBase> adjuster;
+      adjuster = makePtr<BundleAdjusterRay>();
+
+      adjuster->setConfThresh(conf_thresh);
+      if (!(*adjuster)(features, pairwise_matches, cameras)) {
+        sciprint("Camera parameters adjusting failed.\n");
+        return 0;
+      }
+
+
+      vector<double> focals;
+      for ( i = 0; i < cameras.size(); ++i)
+      {
+        //cout << "Camera #" << indices[i]+1 << ":\n" << cameras[i].K()<< endl;
+        focals.push_back(cameras[i].focal);
+
+      }
+      sort(focals.begin(), focals.end());
+      float warped_image_scale;
+      if (focals.size() % 2 == 1){
+        warped_image_scale = static_cast<float>(focals[focals.size() /2]);
+      }
+      else{
+        warped_image_scale = static_cast<float>(focals[focals.size() /2 - 1] + focals[focals.size() / 2]) * 0.5f;
+      }
+
+
+      if (do_wave_correct)
+      {
+      vector<Mat> rmats;
+      for (size_t i = 0; i < cameras.size(); ++i)
+      rmats.push_back(cameras[i].R.clone());
+      waveCorrect(rmats, wave_correct_type);
+      for (size_t i = 0; i < cameras.size(); ++i)
+      cameras[i].R = rmats[i];
+      }
+
+      vector<Point> corners(num);
+      vector<UMat> masks_warped(num);
+      vector<UMat> images_warped(num);
+      vector<Size> sizes(num);
+      vector<UMat> masks(num);
+
+      for ( i = 0; i < num; ++i)
+      {
+        masks[i].create(images[i].size(), CV_8U);
+        masks[i].setTo(Scalar::all(255));
+      }
+
+      Ptr<WarperCreator> warper_creator;
+      warper_creator = makePtr<cv::SphericalWarper>();
+      if (!warper_creator){ sciprint("Can't create the following warper"); return 0; }
+
+      Ptr<RotationWarper> warper = warper_creator->create(static_cast<float>(warped_image_scale * scale));
+      for (i = 0; i < num; ++i)
+      {
+      Mat_<float> K;
+      cameras[i].K().convertTo(K, CV_32F);
+      float swa = (float)scale;
+      K(0,0) *= swa; K(0,2) *= swa;
+      K(1,1) *= swa; K(1,2) *= swa;
+      corners[i] = warper->warp(images[i], K, cameras[i].R, INTER_LINEAR, BORDER_REFLECT, images_warped[i]);
+      sizes[i] = images_warped[i].size();
+      warper->warp(masks[i], K, cameras[i].R, INTER_NEAREST, BORDER_CONSTANT, masks_warped[i]);
+      }
+
+      vector<UMat> images_warped_f(num);
+      for (i = 0; i < num; ++i)
+      images_warped[i].convertTo(images_warped_f[i], CV_32F);
+
+
+      Ptr<ExposureCompensator> compensator = ExposureCompensator::createDefault(expos_comp_type);
+      compensator->feed(corners, images_warped, masks_warped);
+      //cout<<corners<<endl;
+
+      Ptr<SeamFinder> seam_finder;
+      seam_finder = makePtr<GraphCutSeamFinder>(GraphCutSeamFinderBase::COST_COLOR);
+
+      seam_finder->find(images_warped_f, corners, masks_warped);
+
+			Mat result=masks_warped[choice-1].getMat('ACCESS_RW');
+
+
+      for(i=0;i<result.rows;i++){
+        for(j=0;j<result.cols;j++){
+
+          if(result.at<uchar>(i,j)==0){
+
+            images[choice-1].at<Vec3b>(i,j)[0]=0;
+            images[choice-1].at<Vec3b>(i,j)[1]=0;
+            images[choice-1].at<Vec3b>(i,j)[2]=0;
+
+
+          }
+
+         
+
+          
+
+        }
+      }
+
+
+        	string tempstring = type2str(images[choice-1].type());
+        	char *checker;
+        	checker = (char *)malloc(tempstring.size() + 1);
+        	memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+        	returnImage(checker,images[choice-1],1);
+        	free(checker);
+        }
+
+	catch(cv::Exception& e){
+	 	const char* err=e.what();
+	 	sciprint("%s",err);
+	 }
+
+    AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1;;
+    //Returning the Output Variables as arguments to the Scilab environment
+    ReturnArguments(pvApiCtx);
+	return 0;
+
+    }
+}
diff --git a/sci_gateway/cpp/opencv_warp.cpp b/sci_gateway/cpp/opencv_warp.cpp
new file mode 100644
index 0000000..d6bfe30
--- /dev/null
+++ b/sci_gateway/cpp/opencv_warp.cpp
@@ -0,0 +1,195 @@
+//Author-Avinash Reddy
+
+#include <numeric>
+#include "opencv2/core/core.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/opencv.hpp"
+#include "opencv2/stitching/detail/blenders.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
+#include <opencv2/stitching/detail/blenders.hpp>
+#include <opencv2/stitching/detail/camera.hpp>
+#include <opencv2/stitching/detail/exposure_compensate.hpp>
+#include <opencv2/stitching/detail/matchers.hpp>
+#include <opencv2/stitching/detail/motion_estimators.hpp>
+#include <opencv2/stitching/detail/seam_finders.hpp>
+#include <opencv2/stitching/detail/util.hpp>
+#include <opencv2/stitching/detail/warpers.hpp>
+#include <opencv2/stitching/warpers.hpp>
+#include <iostream>
+#include <string>
+using namespace cv;
+using namespace cv::detail;
+using namespace std;
+extern "C"
+{
+    #include "api_scilab.h"
+    #include "Scierror.h"
+    #include "BOOL.h"
+    #include <localization.h>
+    #include "sciprint.h"
+    #include "../common.h"
+
+    int opencv_warp(char *fname,unsigned long fname_len)
+    {
+	     SciErr sciErr;
+       int intErr = 0;
+       int *piAddr = NULL;
+       int *piAddVar1 = NULL;
+       int *piAddVar2 = NULL;
+       int *piAddVar3 = NULL;
+       int iLen        = 0;
+       //variable info
+       int iRows       = 0;
+       int iCols       = 0;
+       int piRows      = 0;
+       int piCols      = 0;
+       int *piLen      = NULL;
+       char **pstData  = NULL;
+       int **pstData1  = NULL;
+
+       int num_images = 2;
+
+       //Check input and output arguments
+       CheckInputArgument(pvApiCtx,num_images,num_images);
+       CheckOutputArgument(pvApiCtx,num_images,num_images);
+
+       try
+       {
+         vector<Mat> images(num_images);
+         for(int i=0;i<num_images;i++)
+         {
+           retrieveImage(images[i],1+i);
+         }
+
+         //Find features
+         double fx = 1;
+         double fy = 1;
+         Ptr<FeaturesFinder> finder;
+         finder = makePtr<OrbFeaturesFinder>();
+         vector<ImageFeatures> features(num_images);
+         for(int i = 0; i < num_images; i++)
+         {
+           images[i].convertTo(images[i],CV_8UC3);
+           resize(images[i],images[i],Size(),fx,fy);
+           (*finder)(images[i],features[i]);
+           features[i].img_idx = i;
+         }
+         finder->collectGarbage();
+
+         //Pair_wise matching
+         float match_conf = 0.3f;
+         vector<MatchesInfo> pairwise_matches;
+         BestOf2NearestMatcher matcher(false,match_conf);
+         matcher(features,pairwise_matches);
+         matcher.collectGarbage();
+
+         //Estimate camera parameters
+         HomographyBasedEstimator estimator;
+         vector<CameraParams> cameras;
+         if(!estimator(features,pairwise_matches,cameras))
+         {
+           sciprint("Estimator Failed");
+           return -1;
+         }
+
+         size_t cameras_size = cameras.size();
+
+         for(size_t i=0;i<cameras_size;i++)
+         {
+           Mat R;
+           cameras[i].R.convertTo(R, CV_32F);
+           cameras[i].R = R;
+         }
+
+         //Refine camera parameters
+         float conf_thresh = 1.f;
+         Ptr<BundleAdjusterBase> adjuster;
+         adjuster = makePtr<BundleAdjusterRay>();
+         adjuster->setConfThresh(conf_thresh);
+         if (!(*adjuster)(features, pairwise_matches, cameras))
+         {
+           sciprint("Adjuster Failed");
+           return -1;
+         }
+
+         //Median focal
+         vector<double> focals;
+         for(size_t i=0;i<cameras_size;i++)
+         {
+           focals.push_back(cameras[i].focal);
+         }
+         sort(focals.begin(),focals.end());
+         float median_focal;
+         int focals_size = focals.size();
+         if(focals_size%2)
+         {
+           median_focal = (float)(focals[focals_size/2]);
+         }
+         else
+         {
+           median_focal = (float)((focals[focals_size/2]+focals[focals_size/2 - 1]) * 0.5f);
+         }
+
+         //Wave correction
+         vector<Mat> rmats;
+         WaveCorrectKind wave_correct_type = WAVE_CORRECT_HORIZ;
+         for (size_t i = 0; i < cameras.size(); ++i)
+         {
+           rmats.push_back(cameras[i].R.clone());
+         }
+
+         waveCorrect(rmats, wave_correct_type);
+         for (size_t i = 0; i < cameras.size(); ++i)
+         {
+           cameras[i].R = rmats[i];
+         }
+
+         //Warping
+         vector<UMat> masks(num_images);
+         vector<Point> corners(num_images);
+         vector<Size> sizes(num_images);
+         vector<UMat> masks_warped(num_images);
+         vector<UMat> images_warped(num_images);
+         for(int i=0;i<num_images;i++)
+         {
+           masks[i].create(images[i].size(),CV_8U);
+           masks[i].setTo(255);
+         }
+
+         Ptr<WarperCreator> warper_creator;
+         warper_creator = makePtr<cv::SphericalWarper>();
+         Ptr<RotationWarper> warper = warper_creator->create((float)(median_focal));
+         for(int i=0;i<num_images;i++)
+         {
+           Mat_<float> K;
+           cameras[i].K().convertTo(K, CV_32F);
+           corners[i] = warper->warp(images[i], K, cameras[i].R, INTER_LINEAR, BORDER_REFLECT, images_warped[i]);
+           sizes[i] = images_warped[i].size();
+           warper->warp(masks[i], K, cameras[i].R, INTER_NEAREST, BORDER_CONSTANT, masks_warped[i]);
+         }
+
+         vector<UMat> images_warped_f(num_images);
+         for (int i=0;i<num_images;i++)
+         {
+           Mat final_img;
+           images_warped[i].convertTo(images_warped_f[i], CV_32F);
+           masks_warped[i].copyTo(final_img);
+           string tempstring = type2str(final_img.type());
+           char *checker;
+           checker = (char *)malloc(tempstring.size() + 1);
+           memcpy(checker, tempstring.c_str(), tempstring.size() + 1);
+           returnImage(checker,final_img,1 + i);
+           AssignOutputVariable(pvApiCtx, 1 + i) = nbInputArgument(pvApiCtx) + 1 + i;
+           free(checker);
+         }
+
+         ReturnArguments(pvApiCtx);
+       }
+       catch(cv::Exception& e)
+       {
+         const char* err=e.what();
+     	 	 sciprint("%s",err);
+       }
+       return 0;
+    }
+}