期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2009
卷号：9
期号：4
页码：187-191
出版社：International Journal of Computer Science and Network Security
摘要：In this paper, we describe the application of a modified fuzzy C-means clustering algorithm to the lip segmentation problem. The modified fuzzy C-means algorithm is able to take the initial membership function from the spatially connected neighboring pixels. Successful segmentation of lip images is possible with the proposed one. Comparative study of this proposed modified fuzzy C-means is done with the traditional fuzzy C-means algorithm by using Pratt��s Figure of Merit. Experimental results using proposed method demonstrate encouraging performance.
关键词：lip segmentation; local spatial interactions; Fuzzy clustering
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