Image Registration Algorithm Implemented in MATLAB

This project presents an image registration algorithm implemented in MATLAB, designed for reference and educational research use. The algorithm operates on the principle of feature point matching and optimization techniques, involving feature extraction from two input images followed by precise matching of these feature points to achieve accurate image alignment. In the implementation, we employ a least squares optimization method to refine the registration results, ensuring higher alignment accuracy between images. The codebase includes comprehensive comments and sample images to facilitate better understanding and practical application of the algorithm. Key MATLAB functions utilized include feature detection methods (such as SURF or Harris corner detection), feature matching algorithms, and transformation estimation using linear least squares solving. We hope this implementation proves beneficial for your learning and research endeavors in computer vision and image processing.