An Optimized Image Registration Algorithm

This paper presents an optimized image registration algorithm that extracts interest points and their orientation information from images. The method utilizes mutual information criteria to obtain corresponding point pairs, enabling seamless stitching of two or more images into a complete composite. Key algorithmic steps include feature point detection using methods like SIFT or ORB, orientation calculation, and mutual information-based correspondence matching. Experimental results demonstrate the algorithm's effectiveness across various datasets.