吉林大学学报（理学版）2017，Vol.55Issue(4)：909-914,6.DOI:10.13413/j.cnki.jdxblxb.2017.04.23
基于纹理和邻域信息的肤色分割算法
Algorithm of Skin Color Segmentation Based on Texture and Neighborhood Information
摘要
Abstract
In order to segment the information of skin color in the image effectively,we proposed a algorithm of skin color segmentation based on texture and neighborhood information of skin point.Firstly,according to the distribution of skin color point in the image in RGB color space,we used the statistical histogram model to segment the part of skin color in the image initially.And then,in order to extract the texture information in the image,we used the Gabor filter to further filter out the part of closing to human skin color but the texture was rough.Finally,we used the skin color point in the mask image as the seed point to diffuse neighborhood information,and then got the final mask image.The experimental results show that,compared with the skin color model of statistical histogram,the method is better in skin color segmentation.关键词
肤色分割/RGB颜色空间/统计直方图模型/Gabor函数/纹理信息Key words
skin color segmentation/RGB color space/statistical histogram model/Gabor function/texture information分类
信息技术与安全科学引用本文复制引用
王雪,张为民..基于纹理和邻域信息的肤色分割算法[J].吉林大学学报（理学版）,2017,55(4):909-914,6.基金项目
吉林省自然科学基金(批准号:20150101055JC). （批准号:20150101055JC）
