基于边缘与灰度梯度的人眼特征定位分析  

Human Eyes Feature Location Based on Edge and Gray Level Gradient Density

作　　者：孔海东[1] 于明[2] 韩立法 

机构地区：[1]河北工业大学"211工程"办公室,天津300130 [2]河北工业大学计算机科学与软件学院,天津300401 [3]河北省就业服务局,河北石家庄050051

出　　处：《河北工业大学学报》2008年第3期34-37,共4页Journal of Hebei University of Technology

摘　　要：根据由粗到精的思路,综合利用了眼睛在人脸面部特征中所特有的边缘与灰度分布信息,进行人眼特征定位.首先用横向Sobel算子对人脸图像进行边缘检测,获取人脸区域的横向边缘特征,然后采用图像形态学的方法框定人脸主要特征的大致区域,最后用计算灰度梯度密度的算法,快速精确地定位人眼区域.试验表明,本方法能快速而精确地实现人眼特征的定位.The method proposed following the thought of ＂coarse to fine＂ and is used to locate human eyes feature using unique edge and gray distribution information of eyes in human face features. First, horizontal edge features of human face region are obtained by doing edge detection for human face image using horizontal Sobel operator. Second, approxi- mate regions of main human face features are marked by using method of image morphology. At last, human eyes regions are located rapidly and accurately by using algorithm of Calculating gray level gradient density. Experimental results show that this method can locate human eyes rapidly and accurately.

关 键 词：人脸检测 人眼特征定位 边缘检测 灰度梯度密度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]