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Title

Segmentation of Lip Images by Modified Fuzzy C-means Clustering Algorithm

Author

G.Sudhavani, K.Sathyaprasad

Citation

Vol. 9  No. 4  pp. 187-191

Abstract

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.

Keywords

lip segmentation, local spatial interactions, Fuzzy clustering

URL

http://paper.ijcsns.org/07_book/200904/20090425.pdf