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一种改进边缘连接的Canny边缘检测算法
作者姓名:齐丹阳  蒋 峥  陈 毅  刘 斌
作者单位:武汉科技大学信息科学与工程学院,湖北 武汉,430081;武汉科技大学信息科学与工程学院,湖北 武汉,430081;武汉科技大学信息科学与工程学院,湖北 武汉,430081;武汉科技大学信息科学与工程学院,湖北 武汉,430081
基金项目:湖北省优秀中青年创新团队资助项目(T200801);湖北省教育厅科研计划资助项目(D20091103).
摘    要:针对Canny边缘检测算法中需要手动设置固定阈值而出现边缘间断或伪边缘的问题,设计了一种基于边缘对比特征和边缘方向的边缘连接方法。该方法是基于视觉感知实验总结的一组边缘对比阈值数据比较强边缘点和待连接边缘点的对比特征判断其相似性,通过保持一定的边缘方向确保边缘连接方向的正确性,待连接点只有满足相似性且连接后新旧边缘方向一致,才能被连接为新边缘点。结果表明,改进边缘连接的Canny边缘检测算法具有很好的边缘连接能力,且能获取完整干净的边缘。

关 键 词:Canny算法  边缘对比特征  边缘方向  边缘对比阈值  边缘相似性  边缘连接
收稿时间:2014/2/20 0:00:00

An improved edge linking algorithm for Canny edge detection
Authors:Qi Danyang  Jiang Zheng  Chen Yi and Liu Bin
Institution:College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
Abstract:In light of edge discontinuity or pseudo-edge caused by manually set fixed thresholds with the traditional Canny edge detection algorithm, this paper proposes a new edge linking method based on edge contrast features and edge direction which judges the similarity between the stronger edge point and the to-be-connected edge point by comparing their contrast features based on a set of edge contrast thresholds summarized by the visual perceptual experiment. The method ensures the correctness of the edge linking direction by keeping a certain edge direction, and the to-be-connected edge point won't become a new valid edge point unless it meets the similarity and is in the same direction with the old edge point. The results show that the improved Canny algorithm for edge linking can lead to complete and clean edges with efficient edge connectivity.
Keywords:Canny algorithm  edge contrast feature  edge direction  edge contrast threshold  edge similarity  edge linking
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