Fuzzy Segmentation of Lip Image Using Cluster Analysis

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Liew, Alan Wee-Chung
Shum, K.L.
Leung, Shu Hung
Lau, Wing Hong
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1999
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Budapest, Hungary

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Abstract

A clustering-based lip segmentation algorithm is described here. The fuzzy clustering algorithm presented here is able to take into account the local smoothness property of image data. The objective functional of our algorithm utilizes a new distance metric that takes into account the influence of the neighboring pixels on the centre pixel in a 3 by 3 window. Computational steps involved in the segmentation of color lip image and segmentation result for a set of color lip images are given.

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PRE2009-Computer Vision

PRE2009-Image Processing

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