Volume 35 Issue 11
Nov.  2010
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WANG Haijun, ZHANG Wenting, HE Sanwei, DENG Yu. An Image Segmentation Method Based on Cellular Automata and Fuzzy C-means[J]. Geomatics and Information Science of Wuhan University, 2010, 35(11): 1288-1291.
Citation: WANG Haijun, ZHANG Wenting, HE Sanwei, DENG Yu. An Image Segmentation Method Based on Cellular Automata and Fuzzy C-means[J]. Geomatics and Information Science of Wuhan University, 2010, 35(11): 1288-1291.
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An Image Segmentation Method Based on Cellular Automata and Fuzzy C-means

  • 1School of Resource and Environmental Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,A11 Datun Road,Beijing 100101,China;3Graduate University of Chinese Academy of Sciences,A19 Yuquan Road,Beijing 100049,China

Funds: 国家自然科学基金资助项目(40871179)
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  • Received Date: September 14, 2010
  • Revised Date: September 14, 2010
  • Published Date: November 04, 2010
    Graphical Abstract
    • Abstract
  • We propose an image segmentation method based on cellular automata and fuzzy C-means(FCM).The method defines the objective function based on FCM and takes gray level as the object to calculate the minimum objective function by application of one-dimensional cellular automata's self-iteration,realizing the preliminary image segmentation;on that basis,it revises original segmentation results with two-dimensional spatial information of neighborhood.This method can be used for image segmentation not only in grayscale images but also in RS image.
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