Eye Localization Algorithm Utilizing Skin Color and Feature Rules

This MATLAB-based eye localization algorithm leverages skin color characteristics and feature rules to accurately detect both open and closed eyes, including cases where subjects wear glasses. The implementation employs sophisticated image processing techniques to enhance detection precision, making it particularly valuable for applications requiring high-accuracy eye tracking. The algorithm workflow typically involves: 1. Skin color segmentation using YCbCr color space conversion and thresholding to isolate facial regions 2. Morphological operations to refine the region of interest (ROI) 3. Feature-based Rule application incorporating geometric constraints and intensity patterns for precise eye localization 4. Adaptive thresholding mechanisms to handle varying lighting conditions and eyewear obstructions Key MATLAB functions employed include: - rgb2ycbcr() for color space transformation - imbinarize() with adaptive thresholding for segmentation - regionprops() for geometric feature analysis - imfill() and bwareaopen() for morphological cleanup This enhanced detection capability significantly improves accuracy in critical applications such as facial recognition systems and emotion analysis, where precise eye localization is essential for interpreting emotional states. In medical imaging applications, the algorithm demonstrates potential for detecting ocular pathologies and abnormalities through precise anatomical localization. The robust implementation and adaptability to various conditions make this algorithm particularly valuable for both research and practical applications in computer vision and biomedical imaging.