Image Registration by Combining SIFT Feature Detection with Edge Detection

This program implements an advanced image registration approach by combining SIFT (Scale-Invariant Feature Transform) with edge detection techniques. The algorithm workflow begins with SIFT feature detection to identify distinctive keypoints in images, which provides scale and rotation invariance for robust matching. Subsequently, the Canny edge detector is employed to extract precise edge information, enhancing the feature set with structural boundaries. An optimization process then selects the most reliable matching points by evaluating feature descriptors and edge consistency metrics. These optimized correspondences are used for vector matching calculations, ultimately achieving precise image registration through geometric transformation estimation. The integration of SIFT's robustness with edge-based structural information enables more accurate alignment results, facilitating subsequent image processing and analysis tasks such as image stitching, object recognition, and comparative analysis.