CSS-Based Feature Point Extraction from Edge Images with Enhanced NCC Matching

CSS performs feature point extraction on edge images followed by matching using an improved Normalized Cross-Correlation (NCC) algorithm. The implementation involves edge detection for feature localization, similarity computation between keypoints, and algorithmic adjustments for grayscale variation handling to enhance matching robustness.