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.
- Python DIP Basics
- Spatial Operations & Intensity Transformation Operations
- Frequency Domain
- Restoration & Morphological Operations
- Registration & Segmentation
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.
The course follows "Digital Image Processing" by Rafael C. Gonzalez and Richard E. Woods.