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Wu Lingyan Shen Tingzhi Fang Ziwen Wang Fei(Department of Electronic Engineering, Beijing Institute of Technology, Beijing, 100081)  
Image segmentation is an old and difficult problem in computer vision systems. An image segmentation method based on the entropy of histogram of grey level pictures and genetic algorithms (GAs) is presented. The segmentation problem is formulated as one of optimization and the entropy of histogram is taken as the segmentation quality criteria, which also fits well with GA. The GA efficiently searches the segmentation parameter space. The goal of this method is to obtain the optimal threshold and it is adopted to both single and double threshold segmentation.
【CateGory Index】: TP391.4
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【Secondary References】
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1 YANG Kai,JIANG Hua-wei College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China;Research of improved genetic algorithm for image segmentation based on fuzzy C-means clustering[J];Computer Engineering and Applications;2009-33
2 YANG Kai,JIANG Hua-wei College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China;Research of improved algorithm for multilevel thresholding image segmentation based on fuzzy maximum entropy[J];Computer Engineering and Applications;2009-32
3 REN Hong-e,ZHAO Lei,DONG Ben-zhi,WANG Rui-xin Northeast Forestry University,Harbin 150040,China;Timber species recognition approach based on mathematic simulation theory and its realization[J];Computer Engineering and Applications;2010-09
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