MATLAB Implementation of Image Stitching Technology

This article explores image stitching and registration techniques, demonstrating how to align and merge two overlapping images into a larger composite image using MATLAB. Image stitching involves combining multiple images to create a panoramic or larger scene, while image registration focuses on spatial transformation and alignment to ensure geometric consistency between images. By integrating these techniques, we can initially achieve registration of two images with overlapping regions. Key implementation steps include: 1. Feature detection using algorithms like SIFT or SURF to identify keypoints 2. Feature matching to find correspondences between overlapping regions 3. Estimating transformation matrices (affine or projective) using RANSAC for robust fitting 4. Image warping and blending to create seamless transitions These computer vision and image processing techniques have broad applications in panorama creation, virtual reality, medical imaging, and satellite image analysis. The MATLAB implementation typically utilizes functions like detectSURFFeatures, matchFeatures, and estimateGeometricTransform to automate the registration pipeline.