| 图像分割中的模糊聚类方法 |
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| 引用本文： | 李旭超,刘海宽,王飞,白春艳.图像分割中的模糊聚类方法[J].中国图象图形学报,2012,17(4):447-458. |
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| 作者姓名： | 李旭超 刘海宽 王飞 白春艳 |
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| 作者单位： | 江苏师范大学电气工程及自动化学院, 徐州 221116;江苏师范大学电气工程及自动化学院, 徐州 221116;江苏师范大学电气工程及自动化学院, 徐州 221116;江苏师范大学电气工程及自动化学院, 徐州 221116 |
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| 基金项目： | 江苏师范大学2010年度自然科学基金项目(10XLR27) |
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| 摘 要： | 模糊聚类算法是近年来图像分割技术领域的研究热点之一。在对模糊C均值聚类算法分析的基础上,结合目前在图像分割中的应用研究,对模糊C均值聚类算法的测度方式进行了比较分析,从单分辨率、多分辨率以及与其他算法结合3个方面,评述改进的模糊C均值聚类算法优缺点。最后,讨论模糊C均值聚类算法目前存在的问题及未来发展方向。
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| 关 键 词： | 模糊C均值聚类 图像分割 目标函数 隶属度 |
| 收稿时间： | 2011/3/24 0:00:00 |
| 修稿时间： | 2011/9/20 0:00:00 |
The survey of fuzzy clustering method for image segmentation |
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| Li Xuchao,Liu Haikuan,Wang Fei and Bai Chunyan.The survey of fuzzy clustering method for image segmentation[J].Journal of Image and Graphics,2012,17(4):447-458. |
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| Authors: | Li Xuchao Liu Haikuan Wang Fei and Bai Chunyan |
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| Affiliation: | College of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, China;College of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, China;College of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, China;College of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, China |
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| Abstract: | The fuzzy c-means (FCM) clustering algorithm for image segmentation is one of the striking research fields in recent decades.Based on the analysis of the FCM algorithm,we combine the current application research in image segmentation,and we analyze and compare it in terms of measuring the expressions of the FCM algorithm.In this paper,through three aspects,such as single-resolution,multi-resolution,and the integration of other algorithms,the advantages and disadvantages of the improved FCM algorithms are expounded.In the end,some challenges and possible trends are discussed. |
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| Keywords: | fuzzy C-means clustering image segmentation objective function the degree of membership |
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