An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation

This paper presents an adaptive spatial information-theoretic fuzzy clustering algorithm to improve the robustness of the conventional fuzzy c-means (FCM) clustering algorithms for image segmentation. This is achieved through the incorporation of information-theoretic framework into the FCM-type alg...

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Main Authors: Wang, Zhimin, Song, Qing, Soh, Yeng Chai, Sim, Kang
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2013
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在線閱讀:https://hdl.handle.net/10356/99253
http://hdl.handle.net/10220/17364
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機構: Nanyang Technological University
語言: English

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