MATLAB Code for Image Stitching Implementation

This is a highly effective image stitching program. The implementation first extracts feature points from two images using the Scale-Invariant Feature Transform (SIFT) algorithm, then applies robust filtering algorithms to eliminate mismatched points, and finally connects the correctly matched points with lines for visualization. Important implementation detail: The main entry point is match.m - after executing the main function, run match('image1.jpg', 'image2.jpg') in the command window. Additionally, the program provides comprehensive functionality including image preprocessing, image enhancement, and stitching quality evaluation. These modular components can be accessed through corresponding function calls such as preprocess.m for image normalization and noise reduction, enhance.m for contrast optimization and sharpening, and evaluate.m for quantitative assessment of stitching accuracy. These auxiliary functions enable more efficient processing and optimization of your image stitching tasks through flexible function invocation and parameter tuning.