Image Matching Based on Sum of Squared Differences

This program implements image matching using the Sum of Squared Differences (SSD) algorithm. The key advantage is its high matching success rate under significant noise conditions, though computational time increases proportionally with the expansion of matching regions and image sizes. The implementation involves pixel-wise intensity comparison and distance calculation between template and search regions.