Workpiece Image Preprocessing with Enhanced Genetic Algorithm and Hausdorff Distance
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.