MATLAB Implementation for Skin Tone Detection and Region Marking

This function converts skin tone regions to white and other areas to black in color images, while marking connected components with rectangular bounding boxes using MATLAB. The implementation typically begins with converting the RGB image to a more suitable color space like YCbCr or HSV for better skin tone segmentation. Skin detection algorithms are then applied using threshold values in specific color channels (e.g., Cb and Cr components in YCbCr space) to create a binary mask. Morphological operations such as erosion and dilation may be used to refine the skin regions. For connected component analysis, MATLAB's regionprops function can extract bounding box coordinates (BoundingBox property) to draw rectangles around detected skin areas. This implementation helps in analyzing skin tone distribution in color images and provides a foundation for further processing tasks like face detection or gesture recognition. Key functions involved include rgb2ycbcr for color conversion, imbinarize for thresholding, bwconncomp for connected components, and rectangle for visualization.