Skin Colour Detection Using the Statistical Decision Theory

Abstract:

Skin colour is an important attribute that can be used to detect human presence in an image. In this paper, a new method is introduced to detect skin pixels in an image based on statistical decision theory. The proposed method uses a parametric model to produce a pixel seed that represents a potential skin pixel. Then the validity of the pixel is confirmed using a moving window and the nonparametric sign test. Experiments show that the proposed method can produce very accurate skin detection results.

• Periodical: Advanced Materials Research (Volumes 694-697)
• Pages: 1891-1895
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.694-697.1891
• Online since: May 2013
• Authors: Gu Fang, Ngai Ming Kwok, Gamini Dissanayake
• Keywords: Decision Theory, Sign Test, Skin Colour Detection, Skin Modelling

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