@inproceedings{ba7b1f0d29764941b0bc92c7d76d917c,
title = "Skin-color segmentation by histogram based TS-type fuzzy system trained by support vector machine",
abstract = "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.",
author = "Juang, {Chia Feng} and Chiu, {Shih Hsuan} and Chung, {I. Fang} and Liou, {Yuan Chang}",
year = "2006",
doi = "10.1109/FUZZY.2006.1681824",
language = "English",
isbn = "0780394887",
series = "IEEE International Conference on Fuzzy Systems",
pages = "947--951",
booktitle = "2006 IEEE International Conference on Fuzzy Systems",
note = "null ; Conference date: 16-07-2006 Through 21-07-2006",
}