Implementation of Data Clustering Segmentation for Image Processing

This program first converts images from RGB color space to HSI color space, then employs color image segmentation strategies combined with the Mean Shift algorithm for image segmentation, followed by boundary synthesis. The 'keyprogram.m' file serves as the main program, while 'meanshift.m' contains the called function responsible for implementing data clustering segmentation through kernel density estimation and mode-seeking operations.