重庆理工大学学报：自然科学2012，Vol.26Issue(8)：91-93,112,4.
基于遗传算法阈值优化的模糊边缘检测
Fuzzy Edge Detection According to Threshold Optimization Based on Genetic Algorithm
摘要
Abstract
To overcome the drawback of losing of gray information after fuzzy image enhancement in Pal and King algorithm, a modified fuzzy edge detection algorithm is presented in this paper. Firstly, a scheme for threshold using genetic algorithm and Otsu is presented. Secondly, according to the threshold, a new membership function is defined automatically in order to change the original image into the fuzzy property plane. Thirdly, the level of different regions is improved after performing fuzzy enhancement, so that the contrast between both sides of the edge is enhanced. Then, the getting image is enhanced by gray transformation. Finally, the edges of the image are extracted according to Min operator. Experimental results show that the quality of edge detection is improved with the proposed algorithm.关键词
模糊边缘检测/遗传算法/隶属函数Key words
fuzzy edge detection/genetic algorithm/membership function分类
计算机与自动化引用本文复制引用
牟宇飞,张文普,彭畑..基于遗传算法阈值优化的模糊边缘检测[J].重庆理工大学学报：自然科学,2012,26(8):91-93,112,4.
