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一种基于扩展数学形态学的边缘检测方法
引用本文:康怀祺,史彩成,赵保军,何佩琨. 一种基于扩展数学形态学的边缘检测方法[J]. 光学技术, 2006, 32(4): 634-635
作者姓名:康怀祺  史彩成  赵保军  何佩琨
作者单位:北京理工大学信息科学技术学院电子工程系 北京100081
摘    要:传统的边缘检测方法对噪声敏感,抑制噪声能力差;基于经典形态学的边缘检测方法虽然具有较好的去噪能力,但不能反映全部的边缘特性。为此给出了一种扩展的数学形态学的定义,并提出了一种基于扩展数学形态学的边缘检测方法。仿真结果表明,该方法不仅能有效地去除噪声,而且通过检测所得到的边缘图像具有良好的边缘特性。

关 键 词:扩展数学形态学  边缘检测  噪声抑制  膨胀  腐蚀
文章编号:1002-1582(2006)04-0634-02
收稿时间:2005-08-04
修稿时间:2005-08-04

A method of edge detection based on extended mathematical morphology
KANG Huai-qi,SHI Cai-cheng,ZHAO Bao-jun,HE Pei-kun. A method of edge detection based on extended mathematical morphology[J]. Optical Technique, 2006, 32(4): 634-635
Authors:KANG Huai-qi  SHI Cai-cheng  ZHAO Bao-jun  HE Pei-kun
Abstract:A method of edge detection based on extended mathematical morphology is presented.Traditional methods of edge detection are sensitive to image noise,so these operators of edge detection can not effectively remove image noise.Edge detection methods based on classical mathematical morphology can remove the image noise,but have bad edge performance.In order to solve this problem,the definition of extended mathematical morphology is presented,and a method of edge detection based on extended mathematical morphology is proposed.Simulation results show that this method can not only remove image noise,but also has better property of image edge.
Keywords:extended mathematical morphology  edge detection  noise suppression  dilation  erosion
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