MATLAB GUI Design Implementation for Image Processing

In this project, we focus on designing a MATLAB Graphical User Interface (GUI). The interface implements several key image processing functionalities: image cropping and display operations, and extraction of grayscale histograms from color images. Additionally, we explore techniques for grayscale histogram analysis, including histogram equalization and histogram matching. These methods help better understand image characteristics, enabling more effective image data analysis and processing. Our implementation involves using MATLAB's image processing toolbox functions like imcrop() for cropping, imshow() for display, and rgb2gray() for conversion. For histogram operations, we utilize imhist() for histogram calculation, histeq() for equalization, and implement custom matching algorithms using histogram specification techniques. We conduct in-depth research on these algorithms to ensure our GUI design is both comprehensive and practically useful for image analysis tasks.