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利用灰色理论进行图像边缘检测
引用本文:胡鹏,傅仲良,陈楠.利用灰色理论进行图像边缘检测[J].武汉大学学报(信息科学版),2006,31(5):411-414.
作者姓名:胡鹏  傅仲良  陈楠
作者单位:武汉大学遥感信息工程学院,武汉市珞喻路129号,430079
摘    要:提出了一种基于灰色系统理论的边缘检测算法。该算法根据边缘点在像素邻域数列上表现出的与非边缘点的不同特征,分别选择典型非边缘像素的邻域数列和待检测图像所有像素的邻域数列作为参考数列和比较数列,利用斜率关联度计算两者之间的灰关联度,据此区分是否为边缘像素。实验表明,该算法对于椒盐噪声和随机噪声有较好的抗噪能力,提取边缘效果较好。

关 键 词:边缘检测  灰色系统理论  灰关联分析  斜率关联度
文章编号:1671-8860(2006)05-0411-04
修稿时间:2005年11月28

Image Edge Detection Based on Gray System Theory
HU Peng,FU Zhongliang,CHEN Nan.Image Edge Detection Based on Gray System Theory[J].Geomatics and Information Science of Wuhan University,2006,31(5):411-414.
Authors:HU Peng  FU Zhongliang  CHEN Nan
Abstract:This paper puts forward a novel algorithm for image edge detection based on gray correlation degree.First,this algorithm decides employing typical non-edge pixel neighboring sequence of gray level as referential sequence,simultaneously regards all pixel neighboring gray level sequence of disposed image as compared sequence,then computes gray correlation of referential sequence and compared sequence using slope correlation degree,finally judges whether a pixel is edge point based on the comparision of the computed gray correlation and the threshold value.To test this new algorithm the authors make experiments and the result shows this algorithm can gain more precise edge pixel than some traditional methods,futermore it can tolerate some noise as salt and stochastic.
Keywords:edge detection  gray system theory  gray correlation degree  slope correlation degree
本文献已被 CNKI 维普 万方数据 等数据库收录!
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