MATLAB Image Registration Implementation

This is an image registration program designed to automatically identify matching points between two photographs. When you input two images capturing the same object, the program detects and marks corresponding points across both images. The implementation typically involves feature detection algorithms (such as SIFT, SURF, or ORB) to extract distinctive keypoints, followed by feature matching techniques to establish correspondences between the two images. Through this program, users can efficiently compare and analyze photographs to better understand object variations across different perspectives or time points. The solution enhances workflow efficiency by automating the registration process and provides substantial potential for various research and practical applications, including medical imaging analysis, remote sensing, and computer vision tasks. The MATLAB implementation likely utilizes functions like detectSURFFeatures, extractFeatures, and matchFeatures to achieve robust point correspondence identification.