MATLAB Image Processing Code Implementation with GUI

This project provides complete MATLAB source code for an image processing application with an intuitive graphical user interface. The program implements multiple image processing functionalities through well-structured MATLAB scripts and functions, including image filtering algorithms (such as Gaussian and median filters), edge detection methods (like Sobel and Canny operators), and image enhancement techniques (including histogram equalization and contrast adjustment). The GUI components are built using MATLAB's App Designer or GUIDE framework, allowing users to visually select processing methods and adjust parameters through interactive controls like sliders, drop-down menus, and real-time preview panels. The source code follows modular programming principles with separate functions for each processing algorithm, making it easy to understand, modify, and extend. Key functions include image I/O operations, matrix-based pixel manipulation, and visualization routines using MATLAB's image processing toolbox. Suitable for both beginners learning fundamental image processing concepts and professionals implementing advanced computer vision algorithms, this codebase serves as a practical foundation for educational and research applications in digital image processing.