Fuzzy Segmentation of Lip Image Using Cluster Analysis
Author(s)
Liew, Alan Wee-Chung
Shum, K.L.
Leung, Shu Hung
Lau, Wing Hong
Griffith University Author(s)
Year published
1999
Metadata
Show full item recordAbstract
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.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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Subject
PRE2009-Computer Vision
PRE2009-Image Processing