一种在红外图像中定位人眼的方法  

An algorithm of eyes localization in infrared image

作　　者：陈宇波[1] 陈新林[2] 陈守明[3] 

机构地区：[1]中南大学信息物理工程学院,湖南长沙410083 [2]河南农业职业学院电子信息工程系,河南郑州451450 [3]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《传感器与微系统》2010年第4期62-66,共5页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(90820302)

摘　　要：提出了一种新型快速的在红外图像中进行眼睛定位的方法。该方法由两部分组成:首先,通过同态滤波增强图像的对比度,使用改进的迭代阈值算法和积分投影函数获取人脸,根据人眼和人脸的几何特征,获取大致的人眼区域;其次,通过自适应中值滤波算法和迭代阈值法获取最小人眼块,利用最小人眼块的质心和积分投影最终准确定位眼睛。实验表明:所提出的算法是快速和可靠的。A novel and quick method for eyes location in an infrared image is proposed. This method consists of two steps. Firstly, homomorphic filter is used to enhance the contrast of image. The human face is obtained through improved iterative threshold algorithm and integral projection function. According to the eyes and face geometry characteristics, the eyes region is obtained roughly. Secondly, the smallest eyes-block is obtained by ranked-order adaptive median filtering（RAMF） method and iterative threshold algorithm. Finally, the eyes position is obtained accurately according to the centroid of the smallest eyes-block and integral projection function. Experimental results show that the proposed method is fast and reliable.

关 键 词：眼睛定位 红外图像 自适应中值滤波 积分投影 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]