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基于多结构元素的数学形态学图像边缘检测
引用本文:王新,黄兆云.基于多结构元素的数学形态学图像边缘检测[J].计算机工程与应用,2008,44(7):89-90.
作者姓名:王新  黄兆云
作者单位:中国石油大学计算机科学与技术系,北京,102249
摘    要:基于改进的单结构元素抗噪型形态边缘检测算子和形态滤波思想,提出了一种多结构元素的多路加权合成形态边缘检测算法。在该算法中,采用峰值信噪比代替固定均值来确定加权参数,是一种自适应方法。与传统的边缘检测算法的对比实验表明,该算法图像边缘检测效果较好,降噪能力也得到了提高。

关 键 词:图像处理  边缘检测  数学形态学  多结构元素  多路加权合成
文章编号:1002-8331(2008)07-0089-02
收稿时间:2007-06-21
修稿时间:2007-09-11

Image edge-detection based on mathematical morphology of multi-structure element algorithm
WANG Xin,HUANG Zhao-yun.Image edge-detection based on mathematical morphology of multi-structure element algorithm[J].Computer Engineering and Applications,2008,44(7):89-90.
Authors:WANG Xin  HUANG Zhao-yun
Affiliation:Department of Computer Science and Technology,China University of Petroleum,Beijing 102249,China
Abstract:The paper presents a method of image edge detection based on multi-structure and multi-grade weighted combination of mathematical morphology,in which the idea of morphological filter is used and on the anti-noise operators of morphological based on single-structure are improved.In this method,the fixed mean with the peak-value SNR(Signal-to-Noise) is replaced,which is tested a self-adaptive method.The experiment result compared with traditional morphological methods shows that this method remains good detected edge of image and can improve the denoising power as well.
Keywords:image processing  edge detection  mathematical morphology  multi-structuring arithmetic  multi-grade weighted combination
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