上海大学学报(自然科学版)

• 计算机工程与科学 • 上一篇    

基于直观和量化方法的肤色检测色彩空间选择

方昱春   

  1. 上海大学 计算机工程与科学学院,上海 200072
  • 收稿日期:2007-05-08 修回日期:1900-01-01 出版日期:2007-10-20 发布日期:2007-10-20
  • 通讯作者: 方 昱 春

Intuitive and Quantitative Color Space Comparison for Skin Detection

FANG Yu-chun   

  1. School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China
  • Received:2007-05-08 Revised:1900-01-01 Online:2007-10-20 Published:2007-10-20
  • Contact: FANG Yu-chun

摘要: 肤色信息为图像检索、脸像分析和手势分析等多种应用提供了重要的信息.选择适当的色彩空间决定了肤色区域检测的结果.采用直方图可视化地描述了肤色在二维色度平面和三维色彩空间中的特定分布,提出并使用一个基于Fisher准则的评价函数对肤色/非肤色进行量化可分性分析,并且通过基于高斯模型的实验进一步验证了比较结果.结合直观分析和量化分析比较了各类通用色彩空间,从而获得了较适于进行肤色区域检测的色彩空间.

关键词: Fisher准则, 肤色检测, 色彩空间, 直方图

Abstract: Skin color is important in image retrieval, face analysis and gesture analysis. Performance of skin detection is determined by the color space used. Histograms to visualize the specific distribution of skin samples in 2- and 3-dimensional color spaces are adopted. An evaluation function is proposed based on the Fisher's criterion to perform a quantitative analysis between skin and nonskin samples. The comparison result is validated by the verification experiment with Gaussian model. Through such intuitive observation and quantitative comparisons, better general color spaces are obtained for skin detection.

Key words: color space, Fisher's criterion, histogram, skin detection