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Color Constancy For Improving Skin Detection
Ali Nadian-Ghomsheh
Pages - 479 - 496     |    Revised - 01-12-2014     |    Published - 31-12-2014
Volume - 8   Issue - 6    |    Publication Date - November / December 2014  Table of Contents
Skin Detection, Color Constancy, Gaussian Distribution, White Patch Retinex, Grey World Assumption.
Skin detection is a preliminary step in many human related recognition systems. Most skin detection systems suffer from high false detection rate, resulting from low variance between the skin and non-skin color distributions. This paper proposes the use of simple color correction algorithms with low computation complexity to obtain a corrected version of the skin color distribution, which could lead to more accurate skin detection. White patch retinex, Grey world assumption and several improved versions of these two state of the art correction algorithms were chosen and applied to an image set of 4000. The results, compared with skin detection with no color correction revealed that color correction will improve the skin detection accuracy.
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Mr. Ali Nadian-Ghomsheh
Cyberspace research group, Shahid Beheshti University, GC Tehran, 1983963113 - Iran