Robust lip region segmentation for lip images with complex background

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Title Robust lip region segmentation for lip images with complex background
Author Wang, Shi-Lin; Lau, Wing Hong; Liew, Alan Wee-Chung; Leung, Shu Hung
Journal Name Pattern Recognition
Year Published 2007
Place of publication United Kingdom
Publisher Pergamon Press
Abstract Robust and accurate lip region segmentation is of vital importance for lip image analysis. However, most of the current techniques break down in the presence of moustaches and beards. With moustaches and beards, the background region becomes complex and inhomogeneous. We propose in this paper a novel multi-class, shape-guided FCM (MS-FCM) clustering algorithm to solve this problem. For this new approach, one cluster is set for the object, i.e. the lip region, and a combination of multiple clusters for the background which generally includes the skin region, lip shadow or beards. The proper number of background clusters is derived automatically which maximizes a cluster validity index. A spatial penalty term considering the spatial location information is introduced and incorporated into the objective function such that pixels having similar color but located in different regions can be differentiated. This facilitates the separation of lip and background pixels that otherwise are inseparable due to the similarity in color. Experimental results show that the proposed algorithm provides accurate lip-background partition even for the images with complex background features like moustaches and beards
Peer Reviewed Yes
Published Yes
Publisher URI
Alternative URI
Volume 40
Issue Number 12
Page from 3481
Page to 3491
ISSN 0031-3203
Date Accessioned 2007-11-21
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Computer Vision; PRE2009-Image Processing
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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