Image Segmentation Process Using Mean Shift Algorithm

The Mean Shift-based image segmentation process involves clustering image pixels using the Mean Shift algorithm, where starting points converging to the same mode are grouped into one class and assigned corresponding labels. Classes with insufficient pixels are eliminated, followed by binary segmentation through thresholding.