基于肤色的眼睛轮廓自动提取新方法  

A new method of eye contour automatic extraction based on skin color

作　　者：刘祥楼[1,2] 杨龙[1,2] 张明[1,2] 孙悦[1,2] 

机构地区：[1]东北石油大学,黑龙江大庆163318 [2]黑龙江省高校校企共建测试计量技术及仪器仪表工程研发中心,黑龙江大庆163318

出　　处：《现代电子技术》2014年第14期125-127,131,共4页Modern Electronics Technique

基　　金：黑龙江省教育厅科研项目"基于汉语语义证件照人眼图像快速检索技术研究"成果(12541055);黑龙江自然科学基金项目资助(F201227);黑龙江省研究生创新科研项目资助(YJSCX2011-121HLJ)

摘　　要：眼睛作为人脸识别最重要的生物特征之一,具有高稳定性、不易复制性和可区分性等特点,其特征提取是人脸图像检索的关键环节,通常对眼睛特征的描述主要依据视觉感知,面对由于模糊描述而无法实现量化处理的难题,提出了一种基于肤色的人眼轮廓自动提取新方法。该方法分为四步:首先,提取人脸彩色图像并将其从RGB色彩空间变换到YCbCr色彩空间;其次,通过肤色非线性空间映射进行人脸区域定位处理;然后,采用大津法实现人眼区域分割;最后,通过色度信息以及形态学处理方法提取眼睛轮廓。实验表明:该方法能够精确提取人眼轮廓,提取率为99%以上,提取时间小于1.75 s。The eyes as a most important biometric feature of face recognition has the characteristics of high stability and distinguishability,and is not easy to be copied. Its feature extraction is a key step in face image retrieval. The usual description of eye features is mainly based on visual perception. As for the defficulty that quantization processing can not be realized due to fuzzy description,a new method for eye contour automatic extraction based on skin color is put forward. The method consists of four steps：extraction of the color face image and transformation of the RGB color space into YCbCy color space,localization processing of the face region by color nonlinear space mapping,segmentation of the eye region with Otsu method,and extraction of the eye contour according to the color information and morphological processing method. The experimental results show that the method can accurately extract eye contour,the extraction rate is more than 99%,and the extraction time is less than 1.75 s.

关 键 词：眼睛轮廓 特征提取 肤色 人脸图像检索 

分 类 号：TN919-34[电子电信—通信与信息系统]