Image Matching Between Two Pictures

The MATLAB program for image matching between two pictures employs two distinct matching algorithms. First, the SAD (Sum of Absolute Differences) algorithm calculates pixel-wise absolute differences between images to determine matching quality. This is implemented using element-wise subtraction and absolute value operations followed by summation across all pixels. Second, the SSAD (Symmetric Sum of Absolute Differences) algorithm enhances the basic SAD approach by incorporating symmetry considerations between corresponding pixel regions, which improves matching accuracy in symmetrical patterns. The implementation typically involves bidirectional difference calculations and weighted averaging. Additionally, the program features a graphical user interface (GUI) for input/output operations, utilizing MATLAB's App Designer or GUIDE framework to enable intuitive image selection, parameter adjustment, and result visualization through interactive controls and display panels.