| 基于直方图局部信息和Gath-Geva模糊聚类的彩色图像分割方法 |
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| 引用本文： | 程平,陈水利,吴云东.基于直方图局部信息和Gath-Geva模糊聚类的彩色图像分割方法[J].集美大学学报(自然科学版),2012(1):75-80. |
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| 作者姓名： | 程平 陈水利 吴云东 |
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| 作者单位： | 集美大学理学院;集美大学影像信息工程技术研究中心 |
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| 基金项目： | 福建省高校科技专项(JK2009017,JK2010031);厦门市科技计划项目(3502Z20093018) |
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| 摘 要： | 针对Gath-Geva模糊聚类算法对初始给定的聚类中心等先验信息较敏感,提出了一种基于直方图局部信息的模糊Gath-Geva聚类新算法.实验结果表明,新算法在彩色图像分割方面,与传统模糊C-Means算法相比,具有较强的分割精度.
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| 关 键 词： | 模糊C-Means聚类 Gath-Geva模糊聚类 直方图 |
Color Image Segment Based on Histogram Local Information and Gath-Geva Clustering Hybrid Approach |
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| CHENG Ping,CHEN Shui-li,WU Yun-dong.Color Image Segment Based on Histogram Local Information and Gath-Geva Clustering Hybrid Approach[J].the Editorial Board of Jimei University(Natural Science),2012(1):75-80. |
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| Authors: | CHENG Ping CHEN Shui-li WU Yun-dong |
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| Institution: | 1.School of Science,Jimei University,Xiamen 361021,China; 2.Research Centre of Image Information Engineering,Jimei University,Xiamen 361021,China) |
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| Abstract: | In order to deal with the Gath-Geva clustering algorithm which was sensitive to the given initial value,a new Fuzzy Gath-Geva hybrid method based on local information of histogram was given.The experiment showed that the new method had more segmentation accuracy than the Fuzzy C-means method. |
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| Keywords: | Fuzzy C-Means Fuzzy Gath-Geva histogram |
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