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证据加权融合的多尺度形态学细胞边缘检测
引用本文:邹刚,孙即祥,敖永红,姚伟.证据加权融合的多尺度形态学细胞边缘检测[J].计算机工程与应用,2010,46(12):180-181.
作者姓名:邹刚  孙即祥  敖永红  姚伟
作者单位:1. 国防科技大学,电子工程学院,长沙,410073
2. 国防科技大学,信息中心,长沙,410073
摘    要:提出了一种改进的多尺度形态边缘检测算法。用不同尺度的结构元素分别检测出图像的不同尺寸的边缘信息,然后采用证据加权的融合方法对不同尺寸的边缘图像进行融合。通过对病理显微图像的实验,在噪声存在的条件下得到较为理想的图像边缘。与其他边缘检测算法进行比较,结果表明该算法在有效地消除噪声的同时,能够取得较好的边缘检测效果。

关 键 词:边缘检测  多尺度形态学  证据加权融合
收稿时间:2008-10-16
修稿时间:2009-1-13  

Algorithm of multi-scale morphological edge detection for cell based off evidence syncretic fusion
ZOU Gang,SUN Ji-xiang,AO Yong-hong,YAO Wei.Algorithm of multi-scale morphological edge detection for cell based off evidence syncretic fusion[J].Computer Engineering and Applications,2010,46(12):180-181.
Authors:ZOU Gang  SUN Ji-xiang  AO Yong-hong  YAO Wei
Affiliation:1.Institute of Electronic Engineering,National University of Defence Technology,Changsha 410073,China 2.The Center of Information,National University of Defence Technology,Changsha 410073,China)
Abstract:An improved algorithm of multi-scale morphological edge detection is proposed.Edges of different size are detected by using different scale operator.And edge images are combined with the way of evidence syncretic fusion.Experiment on pathology image,the more ideal image edges are obtained under the environment of existing noise by interating the edges of various sizes. This paper compares the algorithm with others,the results demonstrate the feasibility and effectiveness,the algorithm can get dis-tinct edge...
Keywords:edge detection  multi-scale morphology  evidence syncretic fusion
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