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《Acta Photonica Sinica》 2005-12
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A Method of Image Edge Detection Based on Multiple Edge Features and FCM

Zhang Linxi1,Wang Baoping1,Zhang Yanning2,Li Nanjing1,Guo Fang1 1 Nantional Defence Science Academe,Northwestern Ploytechnical University,Xian 710072 2 Department of Computer Science and Engineering,Northwestern Ploytechnical University,Xi′an 710072  
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.
【Fund】: 国家自然科学基金项目(69972041)
【CateGory Index】: TN911.73
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