Integration of Fundamental Image Processing Methods with GUI

In this article, I will provide a comprehensive overview of fundamental image processing methods implemented using MATLAB GUI. The techniques covered include histogram analysis, various filtering operations, wavelet transformations, digital watermarking, image segmentation, among others. All methods feature freely adjustable parameters, allowing users to customize processing according to their specific requirements. The implementation utilizes MATLAB's GUIDE (Graphical User Interface Development Environment) for creating interactive controls, with callback functions handling user inputs and real-time parameter updates. Key algorithms such as wavelet decomposition (using wavedec2 function) and segmentation methods (like watershed or region-based approaches) are thoroughly documented. Importantly, all core code sections contain detailed inline comments explaining algorithm logic and implementation steps, facilitating understanding and learning. These implementations are completely original, developed from scratch using MATLAB's Image Processing Toolbox functions including imhist for histograms, imfilter for spatial filtering, and dwt2 for discrete wavelet transforms. The complete code will be uploaded for community exchange and knowledge sharing. I hope these well-documented implementations prove valuable for both learning and practical applications.