激光技术2011，Vol.35Issue(3)：428-432,5.DOI:10.3969/j.issn.1001-3806.2011.03.037
基于改进的2-D Otsu方法和YCgCr空间的肤色分割
Skin color segmentation based on improved 2-D Otsu and YCgCr color space
赵明华 1王理 1李鹏1
作者信息
- 1. 西安理工大学计算机科学与工程学院,西安,710048
- 折叠
摘要
Abstract
In order to deal with the disadvantages of fixed-threshold method in skin color segmentation, a new algorithm based on 2-D Otsu and YCgCr color space was proposed after analysis and comparison of different color spaces and skin color models. Firstly, the skin color sample images compensated with light were transferred from RGB to YCgCr color space and the 2-D Gaussian skin color model was established based on the 179221 skin pixels. Secondly, the image to be segmented was light compensated and transferred from RGB to YCgCr color space. Thirdly, skin color similarity degree was computed based on the 2-D Gaussian model and the skin color similarity image was obtained. Finally, an improved 2-D Otsu method was used into segmentation of the skin color similarity image. Theoretical analysis and experimental results show that the new skin color segmentation method is superior to the traditional methods based on a fixed-threshold in pertinence and anti-noise robustness.关键词
图像处理/肤色分割/2-D Otau方法/彩色空间/肤色模型Key words
image processing/ skin color segmentation/ 2-D Otsu method/ color space/ skin color model分类
信息技术与安全科学引用本文复制引用
赵明华,王理,李鹏..基于改进的2-D Otsu方法和YCgCr空间的肤色分割[J].激光技术,2011,35(3):428-432,5.
