文章基本信息

标题：Image Segmentation by Fuzzy C-Means Clustering Algorithm with a Novel Penalty Term
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作者：Yang, Yong ; Huang, Shuying
期刊名称：COMPUTING AND INFORMATICS
印刷版ISSN：1335-9150
出版年度：2007
卷号：26
期号：1
页码：17-31
语种：English
出版社：COMPUTING AND INFORMATICS
摘要：To overcome the noise sensitiveness of conventional fuzzy c-means (FCM) clustering algorithm, a novel extended FCM algorithm for image segmentation is presented in this paper. The algorithm is developed by modifying the objective function of the standard FCM algorithm with a penalty term that takes into account the influence of the neighboring pixels on the centre pixels. The penalty term acts as a regularizer in this algorithm, which is inspired from the neighborhood expectation maximization algorithm and is modified in order to satisfy the criterion of the FCM algorithm. The performance of our algorithm is discussed and compared to those of many derivatives of FCM algorithm. Experimental results on segmentation of synthetic and real images demonstrate that the proposed algorithm is effective and robust.
关键词：Fuzzy c-means; clustering; image segmentation; expectation maximization