Skin-color segmentation by histogram based TS-type fuzzy system trained by support vector machine

Chia Feng Juang*, Shih Hsuan Chiu, I. Fang Chung, Yuan Chang Liou

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

A Takagi-Sugeno (TS)-type Fuzzy System trained by Support Vector Machine (TSFS-SVM) is proposed and applied to skin color segmentation. In TSFS-SVM, the consequence of each rule is of TS-type. Instead of being trained by neural learning, TSFS-SVM is trained by SVM with the objective to obtain a higher generalization ability. Performance of TSFS-SVM is verified through skin color segmentation problem. To represent color information by histogram as accurately as possible, non-uniform partition of HS space is used. Histogram information from images under different environments is used to train TSFS-SVM Advantage of TSFS-SVM is verified by comparisons with other compared methods.

原文English
主出版物標題2006 IEEE International Conference on Fuzzy Systems
頁面947-951
頁數5
DOIs
出版狀態Published - 2006
事件2006 IEEE International Conference on Fuzzy Systems - Vancouver, BC, Canada
持續時間: 16 7月 200621 7月 2006

出版系列

名字IEEE International Conference on Fuzzy Systems
ISSN(列印)1098-7584

Conference

Conference2006 IEEE International Conference on Fuzzy Systems
國家/地區Canada
城市Vancouver, BC
期間16/07/0621/07/06

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