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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: about 1 month 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 (2 months ago)
- Default Branch: master
- Last Pushed: 2024-09-09T14:29:51.000Z (2 months ago)
- Last Synced: 2024-10-09T17:42:06.370Z (about 1 month ago)
- Topics: digital-image-processing, matplotlib, opencv
- Language: Jupyter Notebook
- Homepage:
- Size: 15.4 MB
- Stars: 5
- 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.