计算机技术与发展2017，Vol.27Issue(7)：62-64,3.DOI:10.3969/j.issn.1673-629X.2017.07.014
模糊图像边缘检测算法研究
Investigation on Detection Algorithm for Fuzzy Image Edge
摘要
Abstract
Since the image edge corresponds to the gray mutation and/or discontinuous position of image,the traditional differential edge detection is the image gradient algorithm based on certain forms.In comparison with a predetermined threshold,if the calculated edge gradient value exceeds the threshold value,the edge is taken as the current edge.The traditional algorithm can meet the requirement for the image edges with distinct variation of gray level.But for certain indistinct gray level variation,the detection effect is not satisfactory,even especially not be detected.Therefore,a fuzzy edge detection algorithm has been proposed where more edge features can be detected via enhancement of image edge contrast to improve the detection effect.In order to verify and validate the proposed algorithm,experimental contrast simulations have been conducted with traditional Sobel algorithm versus Log algorithm.The results show that compared with the traditional edge detection operators,the proposed fuzzy edge detection algorithm is more superior and effective.关键词
边缘检测算法/边缘梯度/模糊边缘检测/检测算子Key words
edge detection algorithm/edge gradient/fuzzy edge detection/detection operator分类
信息技术与安全科学引用本文复制引用
贾敬典,刘艳,李雷..模糊图像边缘检测算法研究[J].计算机技术与发展,2017,27(7):62-64,3.基金项目
国家自然科学基金资助项目(61070234,61071167,61373137,61501251) （61070234,61071167,61373137,61501251）
南京邮电大学引进人才科研启动基金资助项目(214191) （214191）
