DocumentCode :
2690361
Title :
A Bayesian approach to skin color classification in YCbCr color space
Author :
Chai, Douglas ; Bouzerdoum, Abdesselam
Author_Institution :
Sch. of Eng. & Math., Edith Cowan Univ., Perth, WA, Australia
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
421
Abstract :
This paper addresses an image classification technique that uses the Bayes decision rule for minimum cost to classify pixels into skin color and non-skin color. Color statistics are collected from YCbCr color space. The Bayesian approach to skin color classification is discussed along with an overview of YCbCr color space. Experimental results demonstrate that this approach can achieve good classification outcomes, and it is robust against different skin colors
Keywords :
Bayes methods; image classification; image colour analysis; Bayes decision rule; Bayesian approach; YCbCr color space; color statistics; image classification; minimum cost; nonskin color; pixels classification; skin color classification; Australia; Bayesian methods; Chromium; Costs; Image classification; Mathematics; Pixel; Skin; Statistics; TV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2000. Proceedings
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6355-8
Type :
conf
DOI :
10.1109/TENCON.2000.888774
Filename :
888774
Link To Document :
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