| 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]. 厦门水产学院学报, 2012, 0(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： | [1]集美大学理学院,福建厦门361021 [2]集美大学影像信息工程技术研究中心,福建厦门361021 |
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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（3502220093018） |
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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]. , 2012, 0(1): 75-80 |
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| Authors: | CHENG Ping CHEN Shui-li WU Yun-dong |
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| Affiliation: | 1. School of Science, Jimei University, Xiamen 361021, China; 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 ini- tial value, a new Fuzzy Gath-Geva hybrid method based on local information of histogram was given. The ex- periment 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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