Projects

Image Processing Techniques and Transformations : Basics Guide

This project explores a comprehensive set of image processing techniques using Python. It includes fundamental operations such as pixel analysis, brightness and contrast adjustments, color space conversions, filtering, edge detection, and noise reduction. Additionally, it covers advanced topics like histogram equalization, morphological operations, and logical transformations on images. The project provides hands-on practice with real images, enabling users to develop a strong foundation in digital image processing.