Tested SIFT-Based Image Stitching Implementation

This implementation uses Lowe's SIFT algorithm as the core feature extraction method, combined with RANSAC algorithm for robust homography matrix estimation, and includes comprehensive image fusion techniques (weighted blending and average fusion). The stitching results can be evaluated in the testnew module, demonstrating practical application of computer vision algorithms.