hossshakiba / computer-vision-basics-assignments

This repository contains the assignments and solutions for the Computer Vision Basics course lectured by Prof. Hassan Khotanlou at Bu-Ali Sina University.

Computer Vision Basics Assignments

This repository contains the assignments and solutions for the Computer Vision Basics course lectured by Prof. Hassan Khotanlou at Bu-Ali Sina University. The course covers the fundamental concepts of computer vision, including image processing, object detection, and segmentation.

Contents

• Assignment 1: Image Processing Fundamentals
• Assignment 2: Image Enhancement In Spatial Domain
• Assignment 3: Image Enhancement In Frequency Domain
• Assignment 4: Color and Morphological Image Processing

Requirements

The code for each assignment was developed using Python 3.x and the following packages:

• OpenCV
• Pillow
• Numpy
• Matplotlib

The course project was developed using PyTorch

Usage

Each assignment contains a description of the tasks, and the solution code. To run the code, make sure you have the required packages installed and simply run the notebooks in your local environment.

Contributions

If you find any errors or have suggestions for improvements, feel free to create a pull request or open an issue. Your contributions are greatly appreciated.

Disclaimer

Please note that these solutions are intended to be used as reference only and should not be submitted as your own work. Academic integrity is a cornerstone of higher education and it is important to maintain high standards in all coursework.