Digital Image Processing Course Final Project GUI

This project represents the final assignment for our Digital Image Processing course. I developed a comprehensive MATLAB GUI application that provides an intuitive interface for exploring image processing concepts. The GUI framework was built using MATLAB's App Designer, incorporating callback functions for seamless user interaction.

The implementation includes multiple image processing modules featuring algorithms such as spatial filtering (using convolution operations with kernels like Gaussian and Sobel), frequency domain transformations (FFT-based filtering), and color space conversions. Each operation is implemented with optimized MATLAB functions including imfilter() for filtering operations, fft2() for Fourier transforms, and rgb2gray() for color conversions.

Key features include real-time parameter adjustment sliders for filter customization, histogram visualization tools, and side-by-side comparison views of original versus processed images. The code architecture follows modular design principles, separating GUI event handlers from core processing algorithms to ensure maintainability and performance.

This project demonstrates practical implementation of digital image processing theory while providing an educational tool for understanding fundamental concepts through interactive experimentation. I hope this resource proves valuable for both learning and practical applications in image processing.