Fuzzy clustering-based approaches in automatic lip segmentation from color images

There are no files associated with this record.

Title Fuzzy clustering-based approaches in automatic lip segmentation from color images
Author Wang, Shilin; Lau, Wing Hong; Liew, Alan Wee-Chung; Leung, Shu Hung
Book Title Advances in Image and Video Segmentation
Editor Yu-Jin Zhang
Year Published 2006
Place of publication USA and UK
Publisher IRM Press
Abstract Recently lip image analysis has received much attention because the visual information extracted has been shown to provide significant improvement for speech recognition and speaker authentication especially in noisy environment. Lip image segmentation plays an important role in lip image analysis. This chapter will describe different lip image segmentation techniques, with emphasis on segmenting color lip images. In addition to provide a review of different approaches, we will describe in detail the state-of-art classification-based techniques recently proposed by our group for color lip segmentation: the “spatial fuzzy c-mean clustering (SFCM)” and the “fuzzy c-means with shape function (FCMS)”. These methods integrate the color information along with different kinds of spatial information into a fuzzy clustering structure and demonstrate superiority in segmenting color lip images with natural low contrast in comparison with many traditional image segmentation techniques.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.igi-pub.com/
Alternative URI http://www.igi-pub.com/books/details.asp?id=5831
Edition 1
Chapter Number 14
Page from 292
Page to 317
ISBN 1-59140-753-2
Date Accessioned 2007-04-20
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Computer Vision; PRE2009-Image Processing
URI http://hdl.handle.net/10072/22104
Publication Type Book Chapters
Publication Type Code b1x

Show simple item record

Griffith University copyright notice