光照鲁棒性较强的肤色检测算法

doi:10.11772/j.issn.1001-9081.2014.04.1133

计算机应用 ›› 2014, Vol. 34 ›› Issue (4): 1130-1133.DOI: 10.11772/j.issn.1001-9081.2014.04.1133

光照鲁棒性较强的肤色检测算法

黄廷辉,杨飞,崔更申

桂林电子科技大学计算机科学与工程学院，广西桂林 541004

收稿日期:2013-09-22 修回日期:2013-11-19 出版日期:2014-04-01 发布日期:2014-04-29
通讯作者: 杨飞
作者简介:黄廷辉(1970-),男,广西桂林人,副教授，硕士，主要研究方向:嵌入式系统设计、无线传感器网络软件；
杨飞(1988-),男,山东德州人,硕士研究生，主要研究方向:图像处理；
崔更申(1970-),男,湖北天门人,副教授，硕士，主要研究方向:嵌入式系统及应用、物联网、计算机视觉。
基金资助:
国家自然科学基金资助项目;广西可信软件重点实验室(桂林电子科技大学)开放课题资助项目

Skin-color detection algorithm with strong robustness in illumination

HUANG Tinghui,YANG Fei,CUI Gengshen

School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin Guangxi 541004, China

Received:2013-09-22 Revised:2013-11-19 Online:2014-04-01 Published:2014-04-29
Contact: YANG Fei
Supported by:
National Natural Science Foundation

摘要/Abstract

摘要：

针对人脸肤色检测效果受光照影响较大的不足，提出了一种稳定性好的肤色检测算法。首先根据人脸左右对称的特性，采用像素修正算法将人脸区域上的过亮或过暗像素点替换为正常亮度下的像素点；然后采用一种根据像素点亮度的不同动态地确定色度阈值的自适应方法进行肤色检测。实验结果表明，相比YCbCr单高斯模型肤色检测等算法，所提算法在强弱不同的光照情况下提高的正检率超过了10%，误检率降低了5%，而且稳定性明显增强。

Abstract:

According to the fact that the performance of skin-color detection is greatly affected by the illumination, a kind of skin-color detection algorithm with good stability was proposed. According to the characteristic of face symmetry, the pixel correction algorithm was used to replace too bright or too dark pixels on the face area with normal ones, and then an adaptive method was used for skin-color detection, in which the corresponding chroma threshold was determined dynamically by the brightness of pixel. The experimental results show that, compared to other algorithms such as the YCbCr single Gauss model for skin-color detection, more than 10% of positive detection rate was increased and the false positive rate was reduced by 5% with the proposed algorithm under different light intensity. Moreover, the stability of the proposed algorithm is significantly enhanced.

中图分类号:

TP391.413

黄廷辉杨飞崔更申. 光照鲁棒性较强的肤色检测算法[J]. 计算机应用, 2014, 34(4): 1130-1133.

HUANG Tinghui YANG Fei CUI Gengshen. Skin-color detection algorithm with strong robustness in illumination[J]. Journal of Computer Applications, 2014, 34(4): 1130-1133.

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光照鲁棒性较强的肤色检测算法

Skin-color detection algorithm with strong robustness in illumination

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