A NEW ALGORITHM FOR EDGE DETECTION BY HYBRID DIFFERENTIAL EVOLUTION ALGORITHM

摘要：

　　In this paper,a new algorithm for edge detection was proposed.This method inspired by A.Bastirks thoughts was formed,who proposed efficient edge detection using one neighbor CNN cloning template optimized by differential evolutionary algorithm.In order to consider interaction of more cells,and overcome sointions precocious phenomena,this paper extend one neighber to two neighbors,and adopt hybrid differential evolutionary algorithm with a disturbance mutation operator optimizing two neighbors CNN cloning template.Through the general test images,simulation experiments indicate that the proposed method comparing with traditional edge detection methods has obvious advantage.

关键词： Cellular neural networks Cloning template Basic differential evolutionary algorithm A disturbance mutation operator Edge detection

作者: YONG-DONG HUANG HONG-HONG WANG

作者单位: Institute of Information and System Science, Beifang University of Nationalities, Yinchuan 750021, China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 29-34

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）