https://github.com/hamid-rezaei/digital-image-processing

This repository contains my code and solutions for the Digital Image Processing course at Amirkabir University of Technology, Biomedical Engineering Department. It encompasses a wide range of implementations, exercises, and projects tackled throughout the course.
https://github.com/hamid-rezaei/digital-image-processing

digital-image-processing matplotlib opencv

Last synced: 7 days ago
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This repository contains my code and solutions for the Digital Image Processing course at Amirkabir University of Technology, Biomedical Engineering Department. It encompasses a wide range of implementations, exercises, and projects tackled throughout the course.

• Host: GitHub
• URL: https://github.com/hamid-rezaei/digital-image-processing
• Owner: Hamid-Rezaei
• Created: 2024-09-09T12:12:09.000Z (24 days ago)
• Default Branch: master
• Last Pushed: 2024-09-09T14:29:51.000Z (24 days ago)
• Last Synced: 2024-09-26T04:03:42.349Z (7 days ago)
• Topics: digital-image-processing, matplotlib, opencv
• Language: Jupyter Notebook
• Homepage:
• Size: 15.4 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Digital Image Processing

This repository contains my code and solutions for the **Digital Image Processing** course at **Amirkabir University of Technology**, Biomedical Engineering Department. It encompasses a wide range of implementations, exercises, and projects tackled throughout the course.

## Table of Contents

- [Python DIP Basics](./HW0%20-%20Python%20DIP%20Basics/)

- [Spatial Operations & Intensity Transformation Operations](./HW1%20-%20Spatial%20Operations%20%26%20Intensity%20Transformation%20Basics/)

- [Frequency Domain](./HW2%20-%20Frequency%20Domain/)

- [Restoration & Morphological Operations](./HW3%20-%20Restoration%20%26%20Morphologic%20Operations/)

- [Registration & Segmentation](./HW4%20-%20Registration%20%26%20Segmentation/)

The problems for each assignment can be found in the `Homework Instructions` folder.

Each question is answered in a separate Python script or Jupyter notebook, named according to the corresponding question number. Reports are also available within the Jupyter notebook files.

## Course Textbook

The course follows **"Digital Image Processing"** by Rafael C. Gonzalez and Richard E. Woods.