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http://dx.doi.org/10.6109/jkiice.2010.14.8.1809

Skin Color Region Segmentation using classified 3D skin  

Park, Gyeong-Mi (부경대학교 정보공학과)
Yoon, Ga-Rim (부경대학교 정보공학과)
Kim, Young-Bong (부경대학교 IT융합응용공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.14, no.8, 2010 , pp. 1809-1818 More about this Journal
Abstract
In order to detect the skin color area from input images, many prior researches have divided an image into the pixels having a skin color and the other pixels. In a still image or videos, it is very difficult to exactly extract the skin pixels because lighting condition and makeup generate a various variations of skin color. In this thesis, we propose a method that improves its performance using hierarchical merging of 3D skin color model and context informations for the images having various difficulties. We first make 3D color histogram distributions using skin color pixels from many YCbCr color images and then divide the color space into 3 layers including skin color region(Skin), non-skin color region(Non-skin), skin color candidate region (Skinness). When we segment the skin color region from an image, skin color pixel and non-skin color pixels are determined to skin region and non-skin region respectively. If a pixel is belong to Skinness color region, the pixels are divided into skin region or non-skin region according to the context information of its neighbors. Our proposed method can help to efficiently segment the skin color regions from images having many distorted skin colors and similar skin colors.
Keywords
Skin Color Segmentation; 3D Skin Color Model; Skin Color Detection; Classified Skin color model; bayesian method;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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