Skin Detection in Luminance Images using Threshold Technique Skin Detection in Luminance Im.pdf
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Skin Detection in Luminance Images using Threshold Technique Skin Detection in Luminance Im
Skin Detection in Luminance Images using Threshold Technique
International Journal of The Computer, the Internet and Management Vol. 15#1 (January – April, 2007) pp 25 -32
25
Skin Detection in Luminance Images using Threshold Technique
Hani. K. Almohair, Abd Rahman Ramli, Elsadig A. M.,
Shaiful J. Hashim
Department of Computer and Communication Systems Engineering
Faculty of Engineering
University Putra Malaysia, 43400, Upm
Serdang, Selangor, Malaysia
Abstract
With the development of the chromatic
skin color detection models, the threshold
value is a useful and forceful element to
discriminate between the skin and non-skin
pixels. This paper reports an experimental
investigation, which aims at using different
threshold values to classify the human skin.
The chromatic skin color model was used to
model skin color in the r-g chromaticity
space. This model based on testing database
containing many of human images. It has
been found that the threshold value is an
important tool for increasing the human skin
regions detected in color images containing
luminance.
Keywords: Skin chrominance models, Pixels
classification, Skin detection.
1. Introduction
It has been reached by researchers that
skin color models can be used for detecting
human skin in various computer vision
applications. (Yang et al, 1998) suggested a
real-time face tracker using an adaptive skin
color model. They modeled the rg-
chromaticities of skin as a 2D Gaussian
distribution. (Jones and Rehg, 1999)
compared a Bayesian approach to a mixture
of Gaussian in RGB space. This model
includes nearly 1 billion labeled training
pixels obtained from Internet. (Jedynak et al,
2002) considered a sequence of three models
for skin detection built from a large
collection of labeled images. Each model is a
maximum entropy model with respect to
constraints concerning distributions. Several
models were proposed for detecting human
skin in various
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