A Multiscale Image Edge Detection Algorithm Based on Genetic Fuzzy Clustering

摘要

This paper presents a new multiscale image edge detection algorithm based on genetic fuzzy clustering.This algorithm reasonably uses the thought of cluster analysis to complete the search of the group of edge points adaptively, without predetermining threshold .And this also has good noise proof ability for having considered the essential distinction between marginal points and noise points by the border feature vector of the wavelet. The result of the experiment suggest that the proposed arithmetic is very effective for edge detection and noise restraining which lay the basis for realizing the defogging of the low-quality image.