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Received:April 29, 2016 Revised:June 12, 2016
Received:April 29, 2016 Revised:June 12, 2016
中文摘要: 由于图像噪声的存在,传统的边缘检测算法常常无法准确检测到边缘信息.本文分析了噪声条件下边缘信息的几何特征,提出一种基于几何边缘增强技术的边缘检测算法.首先采用Canny算子计算图像的初始边缘信息,然后根据初始边缘信息自动计算阈值排除弱边缘,对剩余边缘计算带方向梯度值进行增强,根据增强边缘信息自动计算双阈值,最后用双阈值方法检测、过滤并连接边缘.该算法提高了边缘检测的准确性,可以高效率地处理噪声和纹理导致的虚假边缘.
Abstract:Because of the existence of image noises, classical edge detection operators often fail to detect the edge exactly in many cases.In view of this, we analyze the geometry characters of edge under the condition of noises, and propose an enhanced algorithm of Canny operator, based on geometry edge enhancing.The algorithm firstly applies Canny operator to compute initial edges, and then excludes weak edges according to an automated threshold.In the following, it computes the directed gradients of remaining edges to improve the edges, and computes the double thresholds according to the improved edges.Finally, this algorithm detects filters and connects the edges by the double-thresholds method.This algorithm improves the accuracy of the edge detection, and can handle the false edges caused by noises or textures efficiently.
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基金项目:科技部科技型中小企业技术创新基金项目(14C26214402603);惠州学院教博启动项目(2015JB015)
Author Name | Affiliation |
XU De-Ming | Department of Electronic Science, Huizhou University, Huizhou 516015, China |
WAN Chang-Lin | Department of Electronic Science, Huizhou University, Huizhou 516015, China |
Author Name | Affiliation |
XU De-Ming | Department of Electronic Science, Huizhou University, Huizhou 516015, China |
WAN Chang-Lin | Department of Electronic Science, Huizhou University, Huizhou 516015, China |
引用文本:
徐德明,万长林.可抗噪声的Canny改进边缘检测算法.计算机系统应用,2017,26(1):201-205
XU De-Ming,WAN Chang-Lin.Noise-Proof Enhanced Canny Edge Detection Algorithm.COMPUTER SYSTEMS APPLICATIONS,2017,26(1):201-205
徐德明,万长林.可抗噪声的Canny改进边缘检测算法.计算机系统应用,2017,26(1):201-205
XU De-Ming,WAN Chang-Lin.Noise-Proof Enhanced Canny Edge Detection Algorithm.COMPUTER SYSTEMS APPLICATIONS,2017,26(1):201-205