A Mumford-Shah Level-Set Approach for Skin Segmentation Using a New Color Space

摘要：

In this paper,skin region segmentation is performed using a new color space and a level set method based on Mumford-Shah model.The fundamental idea is to divide the whole problem into two main steps according to the hierarchy of image information.We first perform a rough skin classification pixel-wise using a color coordinate deduced by principal component analysis (PCA) technique.The next step is to implementing image segmentation using a level set with Mumford-Shah model.All the regions are then traversed to calculate ratio of skin pixels to the total pixels within each individual region.Those regions whose ratio reaches the statistical amount will then be regarded as skin regions.Experimental results show that the proposed method is robust,and it could reduce false detection caused by noise or illumination variation.

作者: Zhao Yong-jia Dai Shu-ling Xi Xiao

会议类型: 国际会议

会议名称: Asia Simulation Conference 2008/the 7th International Conference on System Simulation and Scientific Computing(2008亚洲仿真会议/第七届系统仿真和科学计算国际会议)(ICSC2008)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-10（万方平台首次上网日期，不代表论文的发表时间）