Explore MATLAB source code curated for "hausdorff距离" with clean implementations, documentation, and examples.
A custom-developed enhanced Hausdorff distance algorithm designed for post-focus extraction image registration, implemented with optimized edge matching and distance transformation calculations.
This program implements workpiece image preprocessing and edge extraction, combining improved genetic algorithms with Hausdorff distance for object recognition. It utilizes Canny edge detection as matching features, employs modified Hausdorff distance as similarity measurement criteria, and applies genetic algorithms for rapid optimal matching search. Code implementation includes adaptive thresholding in preprocessing, gradient calculation in edge detection, and population-based optimization with crossover/mutation operations for efficient pattern matching.
An extremely valuable resource for pattern recognition practitioners! HAUSDORFF distance with implementation insights and algorithmic explanations.
This MATLAB implementation demonstrates image matching through Hausdorff distance calculation, measuring the maximum dissimilarity between two images.
A MATLAB program for computing Hausdorff distance between two point sets with code efficiency optimizations