6533b858fe1ef96bd12b6c23
RESEARCH PRODUCT
A Comparative Study on Fuzzy-Clustering-Based Lip Region Segmentation Methods
Chun ChenChun ChenShi-lin WangShi-lin WangAn-jie CaoAn-jie CaoRuo-yun WangRuo-yun Wangsubject
AuthenticationFuzzy clusteringComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionstomatognathic diseasesComputingMethodologies_PATTERNRECOGNITIONstomatognathic systemSegmentationArtificial intelligencebusinessSpatial analysisTemporal informationdescription
As the first step of many lip-reading or visual speaker authentication systems, lip region segmentation is of vital importance. And fuzzy clustering based methods have been widely used in lip segmentation. In this paper, four fuzzy clustering based lip segmentation methods have been elaborated with their underlying rationale. Experiments have been carried out evaluate their performance comparatively. From the experimental results, SFCM has the best efficiency and FCMST has the best segmentation accuracy.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-01-01 |