| 基于图像直方图与模糊核聚类的分割方法 |
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| 引用本文： | 郭桂芳,朱昌杰,彭太乐,葛方振.基于图像直方图与模糊核聚类的分割方法[J].淮北煤炭师范学院学报(自然科学版),2014(3):57-61. |
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| 作者姓名： | 郭桂芳 朱昌杰 彭太乐 葛方振 |
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| 作者单位： | 淮北师范大学 计算机科学与技术学院,安徽 淮北,235000 |
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| 基金项目： | 安徽省高等学校省级自然科学重点项目 |
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| 摘 要： | 利用图像直方图与模糊核聚类知识,提出一种新的分割方法,即先获取直方图数据信息结合期望值理论获得初始聚类中心,然后对图像进行模糊核聚类分割.本算法可以解决模糊核聚类算法对初始的聚类中心等信息较敏感的问题.实验结果表明,与标准的模糊C-均值(FCM)聚类分割方法相比,具有更优越的分割性能,分割结果与实际图像更为接近.
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| 关 键 词： | 图像分割 核聚类 直方图 |
Image Segmentation Method Based on Histogram Information and Fuzzy Kernel Clustering |
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| GUO Gui-fang,ZHU Chang-jie,PENG Tai-le,GE Fang-zhen.Image Segmentation Method Based on Histogram Information and Fuzzy Kernel Clustering[J].Journal of Huaibei Coal Industry Teachers College(Natural Science edition),2014(3):57-61. |
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| Authors: | GUO Gui-fang ZHU Chang-jie PENG Tai-le GE Fang-zhen |
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| Institution: | (School of Computer Science and Technology, Huaibei Normal University, 235000, Huaibei , Anhui , China) |
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| Abstract: | A new method of image segmentation based on information of histogram and fuzzy kernel cluster-ing was given. Initial clustering centers were obtained based on information of histogram and expected value theory. Then image segmentation was performed using fuzzy kernel clustering .The method can deal with fuzzy kernel clustering algorithm which was sensitive to the given initial value. The experiment showed that the new method had more segmentation accuracy than normal fuzzy C-means segmentation method and was close to actual image. |
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| Keywords: | image segmentation kernel clustering histogram |
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