By Topic

Skin-Color Segmentation by Histogram Based TS-type Fuzzy System Trained by Support Vector Machine

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Chia-Feng Juang ; Nat. Chung Hsing Univ., Taichung ; Shih-Hsuan Chiu ; I-Fang Chung ; Yuan-Chang Liou

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.

Published in:

Fuzzy Systems, 2006 IEEE International Conference on

Date of Conference:

0-0 0