Mean Shift Image Segmentation Test Program

Mean Shift Image Segmentation Test Program implementing clustering segmentation on color images using the meanshift algorithm with excellent results. The program displays processing time and identified cluster counts, and includes RGB-LUV color space conversion, image matrix data reduction to dimensional arrays, and other utility functions. Features comprehensive code annotations, implementation notes, and sample result images - highly suitable for computer vision, machine learning, and pattern recognition reference.