Image Stitching Using SIFT Algorithm with MATLAB Implementation

This MATLAB implementation employs the Scale-Invariant Feature Transform (SIFT) algorithm for high-quality image stitching. The code has undergone extensive testing and validation, confirming its robust performance in seamlessly merging multiple images with overlapping regions. The implementation follows a structured pipeline: first detecting distinctive SIFT keypoints and extracting feature descriptors from each image, then performing feature matching using Lowe's ratio test to ensure reliable correspondences. The algorithm estimates geometric transformations between images using RANSAC-based homography estimation, eliminating outliers and ensuring accurate alignment. Finally, it employs advanced blending techniques to create seamless panoramic images with expanded field of view. This solution serves as a powerful tool for image processing and computer vision applications, providing researchers and practitioners with reliable technical support for creating comprehensive composite images from multiple sources.