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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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4 ZHU Yu,JIANG Lin-jia(School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China);Synthesis Tracing Algorithm for Region Localization of SEM Image[J];Acta Photonica Sinica;2008-02
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6 HUANG Da-jiang1,YU Mei1,YANG You1,2,JIANG Gang-yi1,3(1 Faculty of Information Science and Engineering,Ningbo University,Ningbo,Zhejiang 315211,China)(2 Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100080,China)(3 National Key Lab of Software New Technology,Nanjing University,Nanjing 210093,China);Right View Image Evaluation Method for Stereoscopic Image Pair Based Similarity Measure[J];Acta Photonica Sinica;2008-08
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8 WU Di1,2,L Nai-guang3,DENG Wen-yi3(1 Physical Science and Technical College,Shenyang Normal University,Shenyang 110034,China)(2 School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)(3 School of Optoelectronic Information and Communication Engineering,Beijing Information Science & Technology University,Beijing 100085,China);A Method for the Automatic Location of Whole Target Images In Large-Scale Vision Measurement[J];Acta Photonica Sinica;2009-07
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【Secondary References】
Chinese Journal Full-text Database 6 Hits
1 ZENG Ming 1,MENG Qing-hao1,WANG Xiang-hui 2,QIU Ya-nan1,JIANG Ping1,LI Yan-hui1(1 School of Electrical Engineering and Automation,Tianjin University,Tianjin 300072,China)(2 Key Laboratory of Opto-electronic Information Science and Technology,MOE,Institute of Modern Optics,Nankai University,Tianjin 300071,China);Image Enhancement Based on Visual Attention Mechanisms[J];Acta Photonica Sinica;2009-05
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