Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/28394
Type: Conference paper
Title: Automation human skin segmentation based on color information in the YCbCr color space
Author: Habili, N.
Lim, C.
Moini, A.
Citation: Final program and abstracts: Information, decision and control: Adelaide, Australia, 11-13 February 2002 / pp. 377-384
Publisher: IEEE
Publisher Place: CD Rom
Issue Date: 2002
ISBN: 0780372719
Conference Name: Information, Decision and Control (2002 : Adelaide, South Australia)
Editor: White, P.
Statement of
Responsibility: 
Habili, N. ; Cheng-Chew Lim ; Moini, A.
Abstract: We present an automatic human skin segmentation algorithm based on color information. The YCbCr color space is employed because it is typically used in video coding and provides an effective use of chrominance information for modeling the human skin color. We model the skin-color distribution as a bivariate normal distribution in the CbCr plane and classify each pixel as skin or non-skin based on its Mahalanobis distance. The performance of the algorithm is illustrated by simulations carried out on images depicting people of different ethnicity.
Appears in Collections:Aurora harvest 6
Electrical and Electronic Engineering publications

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