基于类内方差最小化及模糊控制算法的小波边缘检测技术  

A Wavelet Edge Detection Technique Based on Method of Minimum Interclass Variance and Fuzzy Algorithm

作　　者：李牧[1] 臧希喆[1] 闫继宏[1] 赵杰[1] 

机构地区：[1]哈尔滨工业大学机器人研究所,黑龙江哈尔滨150001

出　　处：《电子学报》2008年第9期1741-1745,共5页Acta Electronica Sinica

基　　金：长江学者和创新团队发展计划资助项目(No.IRT0423);863计划项目(No.2006AA04Z245)

摘　　要：应用传统的小波技术对图像进行边缘检测时,需要采用阈值对模非极大值抑制后的候选边缘点进行筛选,求取边缘.但是,目前阈值的求取是凭借人们的经验人为的设定,需要反复的试凑比较才能得出最后结果,另外,当前的单阈值自动求取方法还无法实现精确的边缘检测,这些缺陷限制了小波边缘检测技术在实际中的应用.针对这一问题,提出基于类内方差最小化原理自适应的求取双阈值的算法,不需要人为的设定任何系数和参数.采用模糊控制技术连接边缘像素,理论推导和实验结果证明了该算法的正确性和有效性.Whatever traditional wavelet edge detection technique was adopted, threshold was needed to filter candidate edge points for edge detection.However, threshold was obtained through experience presently, the best result was received after ＂cut and trial method＂ had been used repeatly, in addition, single-threshold calculation method can not accompfish accurate edge detection by now. These shortcomings restrict application of wavelet edge detection technique in practice. Aim at this problem, an algorithm of self-adaptive calculating double thresholds based on method of minimum interclass variance was proposed, and any parameter was not needing artificial setting . Fuzzy algorithm was adopted to link edge pixels, Theory and experiments showed that the algorithm was of validate and correct.

关 键 词：自适应确定双阈值 类内方差最小化 小波变换 边缘检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]