Image Fusion Algorithm Implementation - Eye to Palm Fusion

This MATLAB code, developed by an international researcher, demonstrates advanced image fusion techniques. The implementation focuses on algorithmically merging a human eye image with the palm of a hand to create a unified composite image. Image fusion technology combines multiple source images into a single enhanced output, utilizing in this case sophisticated blending algorithms to maintain natural transitions between the eye features and palm texture. The code likely employs key MATLAB functions such as imread() for image loading, imfuse() for basic image combination, and advanced techniques like alpha blending or wavelet transform for seamless integration. Algorithm implementation may include feature point detection to align the eye properly with the palm's curvature, color space transformations to match lighting conditions, and morphological operations for edge smoothing. This implementation serves both artistic and analytical purposes - creating visually striking composite images while providing insights into the spatial relationships between human anatomical features. The code structure offers an excellent foundation for understanding core image processing concepts including image registration, intensity adjustment, and mask generation techniques. Whether you're exploring digital art applications or studying computer vision algorithms, this implementation provides practical hands-on experience with professional-grade image fusion methodology.