MATLAB Code Implementation from Literature Algorithms

This article presents the implementation of skin color detection and contour extraction using MATLAB code derived from international literature algorithms. We provide detailed explanations and code demonstrations for these techniques. Skin color detection represents a fundamental computer vision approach with applications in facial recognition and gender classification systems. The implementation typically involves color space conversion (e.g., from RGB to YCbCr), thresholding operations using empirically derived values, and morphological filtering to reduce noise. We analyze the algorithm's strengths and limitations, including its sensitivity to lighting conditions and performance across diverse skin tones. Additionally, we demonstrate contour extraction algorithms that utilize edge detection operators (like Sobel or Canny) combined with boundary tracing functions (such as bwboundaries in MATLAB) to capture object shapes. This technique proves valuable for image segmentation and object recognition tasks. The article includes sample images and step-by-step demonstrations showing how our MATLAB implementation processes input images through sequential operations: color space transformation, skin region identification, morphological cleanup, and finally contour extraction using connected component analysis.