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基于多特征和FCM的图像边缘检测方法
引用本文:张麟兮,王保平,张艳宁,李南京,郭芳.基于多特征和FCM的图像边缘检测方法[J].光子学报,2005,34(12):1893-1896.
作者姓名:张麟兮  王保平  张艳宁  李南京  郭芳
作者单位:1. 西北工业大学国防研究院,西安,710072
2. 西北工业大学计算机学院,西安,710072
基金项目:国家自然科学基金项目(69972041)
摘    要:提出了一种新的基于多特征和FCM的边缘检测算法.该方法根据边缘点附近灰度分布特点构造了多个反映边缘特性的特征分量,并利用输入图像提取该组特征分量,组成一个反映图像边缘特征的数据集.用FCM聚类算法将该数据集分为两类,即边缘点数据和非边缘点数据,实现边缘检测.该方法无需确定阈值,对弱边缘检测较敏感,在特征的选取上充分考虑了边缘和噪声的本质区别,因而具有优异的抗噪性能.

关 键 词:多边缘特征  边缘检测  FCM
收稿时间:2003-03-04
修稿时间:2003年3月4日

A Method of Image Edge Detection Based on Multiple Edge Features and FCM
Zhang Linxi,Wang Baoping,Zhang Yanning,Li Nanjing,Guo Fang.A Method of Image Edge Detection Based on Multiple Edge Features and FCM[J].Acta Photonica Sinica,2005,34(12):1893-1896.
Authors:Zhang Linxi  Wang Baoping  Zhang Yanning  Li Nanjing  Guo Fang
Institution:1 Nantional Defence Science Academe,Northwestern Ploytechnical University,Xian 710072;2 Department of Computer Science and Engineering,Northwestern Ploytechnical University,Xi′an 710072
Abstract:An edge detection method of the infrared image based multiple features and the fuzzy C-means algorithm (FCM) is proposed. The multiple edge features are defined according to the character of the gray intensity distribution at the image edge. An vector is composed by the multiple edge features, then the vectors of all pixels in input image are worked out, and compose a data set that can reflect the natural characters of image edge, then divide the data set into two clusters of the edge data set and not edge data set by FCM. Our method does not need any threshold; more sensitive for weak edge detection; has better anti-noise performance since the influence of noise is adequately considered when the feature vector is selected.
Keywords:Multiple edge features  Edge detection  Fuzzy C-means algorithm (FCM)  
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