DocumentCode :
2342744
Title :
A Restricted Coulomb Energy (RCE) Neural Network System for Hand Image Segmentation
Author :
Sui, Chao ; Kwok, Ngai Ming ; Ren, Tianran
Author_Institution :
Sch. of Mech. & Manuf. Eng., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2011
fDate :
25-27 May 2011
Firstpage :
270
Lastpage :
277
Abstract :
A hands segmentation scheme based on human skin color classification using the Restricted Coulomb Energy (RCE) neural network is proposed in this paper. An improved iteration strategy for the RCE neural network, with a reduction in the number of repetitive calculations, is utilized in our work. The experimental results show that our system is more accurate and less computational expensive than previous schemes.
Keywords :
image classification; image colour analysis; image segmentation; iterative methods; neural nets; hand image segmentation scheme; human skin color classification; iteration strategy; restricted Coulomb energy neural network; Artificial neural networks; Image color analysis; Neurons; Pixel; Prototypes; Skin; Training; Human hands skin color; Restricted Coulomb Energy (RCE) neural network; image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision (CRV), 2011 Canadian Conference on
Conference_Location :
St. Johns, NL
Print_ISBN :
978-1-61284-430-5
Electronic_ISBN :
978-0-7695-4362-8
Type :
conf
DOI :
10.1109/CRV.2011.43
Filename :
5957571
Link To Document :
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