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