Explore MATLAB source code curated for "NCC算法" with clean implementations, documentation, and examples.
MATLAB implementation of the NCC algorithm featuring clean, readable code structure, though with longer execution time due to computational complexity. Includes template matching operations and correlation coefficient calculations.
This document introduces a comprehensive pipeline for feature matching using Harris corner detection, NCC (Normalized Cross-Correlation) for initial matching, and RANSAC (Random Sample Consensus) for outlier removal to enhance matching accuracy and robustness.
This implementation performs Harris corner detection, followed by normalized cross-correlation (NCC) for initial feature matching, and utilizes RANSAC algorithm to eliminate outlier matches for improved accuracy.
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.