MATLAB-Based Image Matching Code with Implementation Details

In contemporary society, image recognition and its applications are becoming increasingly important. For image matching tasks, identifying corresponding points or feature points between two images is an essential and crucial preliminary step. This article provides relevant images and complete MATLAB source code, presenting a methodological approach to image matching using MATLAB. The implementation includes feature detection algorithms (such as SIFT or SURF), descriptor extraction methods, and matching techniques using functions like detectSURFFeatures and matchFeatures. This approach helps readers better understand the image matching process through practical code examples that demonstrate key computational steps, enabling readers to effectively master this technology through hands-on implementation. The code structure shows how to preprocess images, extract distinctive features, and establish correspondences between images using similarity measures.