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dc.contributor.authorWang, Shi-Linen_US
dc.contributor.authorLau, Wing Hongen_US
dc.contributor.authorLiew, Alan Wee-Chungen_US
dc.contributor.authorLeung, Shu Hungen_US
dc.date.accessioned2017-05-03T15:20:34Z
dc.date.available2017-05-03T15:20:34Z
dc.date.issued2007en_US
dc.date.modified2009-10-16T05:18:37Z
dc.identifier.issn00313203en_US
dc.identifier.doi10.1016/j.patcog.2007.03.016en_AU
dc.identifier.urihttp://hdl.handle.net/10072/17058
dc.description.abstractRobust 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 beardsen_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherPergamon Pressen_US
dc.publisher.placeUnited Kingdomen_US
dc.publisher.urihttp://www.elsevier.com/wps/find/journaldescription.cws_home/328/description#descriptionen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom3481en_US
dc.relation.ispartofpageto3491en_US
dc.relation.ispartofissue12en_US
dc.relation.ispartofjournalPattern Recognitionen_US
dc.relation.ispartofvolume40en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280203en_US
dc.subject.fieldofresearchcode280208en_US
dc.titleRobust lip region segmentation for lip images with complex backgrounden_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.date.issued2007
gro.hasfulltextNo Full Text


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