计算机工程与应用2017，Vol.53Issue(23)：6-11,6.DOI:10.3778/j.issn.1002-8331.1708-0214
基于直觉模糊散度的噪声图像边缘检测
Edge detection algorithm based on intuitionistic fuzzy divergence for noisy image
摘要
Abstract
As traditional image edge detection algorithms cannot suppress noise well, an edge detection algorithm based on intuitionistic fuzzy set is proposed. This method sets a template that indicates the flat region and in image window constructs a membership function, which considers both gradient and variance information, then the intuitionistic fuzzy divergence is calculated between the template and each image window through the image to locate and output edges. Experimental results show that the proposed algorithm can get good detection results for images seriously contaminated by Gaussian and uniform noise.关键词
噪声图像/边缘检测/模糊直觉集(IFS)/模糊直觉散度(IFD)Key words
noisy image/edge detection/Intuitionistic Fuzzy Set(IFS)/Intuitionistic Fuzzy Divergence(IFD)分类
信息技术与安全科学引用本文复制引用
刘祎,张权,张鹏程,宋胜涛,陈阳,桂志国..基于直觉模糊散度的噪声图像边缘检测[J].计算机工程与应用,2017,53(23):6-11,6.基金项目
国家重点研发计划项目子课题(No.2016YFC0101602) （No.2016YFC0101602）
山西省回国留学人员科研资助项目(No.2016-085) （No.2016-085）
山西省青年基金项目(No.201601D021080) （No.201601D021080）
中北大学校基金(No.XJJ2016019). （No.XJJ2016019）
