{"id":15132121,"url":"https://github.com/hamid-rezaei/digital-image-processing","last_synced_at":"2025-10-14T19:09:42.306Z","repository":{"id":256204046,"uuid":"854569655","full_name":"Hamid-Rezaei/Digital-Image-Processing","owner":"Hamid-Rezaei","description":"This repository contains my code and solutions for the Digital Image Processing course at Amirkabir University of Technology, Biomedical Engineering Department. 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It encompasses a wide range of implementations, exercises, and projects tackled throughout the course.\n\n## Table of Contents\n- [Python DIP Basics](./HW0%20-%20Python%20DIP%20Basics/)\n- [Spatial Operations \u0026 Intensity Transformation Operations](./HW1%20-%20Spatial%20Operations%20%26%20Intensity%20Transformation%20Basics/)\n- [Frequency Domain](./HW2%20-%20Frequency%20Domain/)\n- [Restoration \u0026 Morphological Operations](./HW3%20-%20Restoration%20%26%20Morphologic%20Operations/)\n- [Registration \u0026 Segmentation](./HW4%20-%20Registration%20%26%20Segmentation/)\n\nThe problems for each assignment can be found in the `Homework Instructions` folder.\n\nEach 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.\n\n## Course Textbook\nThe course follows **\"Digital Image Processing\"** by Rafael C. Gonzalez and Richard E. 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