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Mineral Processing Technology - Image Analytics#614

Merged
Mrinank-Bhowmick merged 2 commits intoMrinank-Bhowmick:mainfrom
manishkumar00208:main
Dec 28, 2023
Merged

Mineral Processing Technology - Image Analytics#614
Mrinank-Bhowmick merged 2 commits intoMrinank-Bhowmick:mainfrom
manishkumar00208:main

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@manishkumar00208
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@manishkumar00208 manishkumar00208 commented Oct 28, 2023

Type of change

  • Added new project
  • Bug fix
  • New features
  • Enhanced documentation

Changes proposed in this pull request

  • Project name :

Mineral Processing Technology - Image Analytics

  • Short description :

In the field of Mineral Processing Technology, size analysis of the various particles of an extracted sample is of importance in determining the quality of minerals, entropy values and in establishing the degree of liberation of the values from the gangue at various particle sizes. In this problem statement, candidate is required to analyze the mineral particles in the input folder and calculate the following -

The smallest circle that just encapsulates the particle (the circle has to be generated on the image).

Total surface area of the particle (in pixels) (Has to be generated on the image)

The major axis (longest axis) in the particle that lies entirely inside the particle (in pixels) (Has to be generated on the image)

Total perimeter of the particle (in pixels) (Has to be generated on the image)

Centroid of the particle (Has to be generated on the image)

Checklist

  • The code is Python 3 compatible
  • I have added relevant comments in my file to make code understandable
  • I have added my project in a folder which includes all the necessary files

Closes Issue #612

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Greetings! This is an automated message from GitHub Actions. 🤖
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@Mrinank-Bhowmick
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Cool project contribution 👍

@Mrinank-Bhowmick Mrinank-Bhowmick merged commit b03140d into Mrinank-Bhowmick:main Dec 28, 2023
yanfd pushed a commit to yanfd/python-beginner-projects that referenced this pull request Jan 30, 2025
Mineral Processing Technology - Image Analytics
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2 participants