摘要
该文提出了一种基于最大类间方差阈值分割和灰度积分投影技术的眼睛定位方法。首先通过图像预处理技术中的中值滤波方法去除图像噪声,并通过非线性变换消除人脸图像因为曝光条件不同而造成的模糊,得到灰度分配较为均匀的图像,然后利用最大类间方差阈值法对图像进行二值化处理,将特征点从人脸图像分割出来,并分别利用水平和垂直灰度积分投影曲线结合人脸的结构特征找到眼睛的位置坐标,实现了准确的眼睛定位,从而为进一步提取其它特征点打好了基础。
An algorithm for eyes location is presented in this paper based on m ax imum variance between two classes and gray-level integration projection. First, median filter is used to eliminate the noise, then the image blur caused by defi cient exposal is cleared up using non-linear transform. Maximum variance betwee n two classes is provided to get the binary image, and then the features are ext racted from the image. Finally, by the way of gray-level integration projection and human face configuration, we can easily find that the location of eyes is d etermined by the coordinate of the minimum in the diagram. Further feature detec tion can be done based on this result.
出处
《计算机仿真》
CSCD
2005年第4期75-76,104,共3页
Computer Simulation
关键词
特征提取
眼睛定位
阈值分割
积分投影
Feature extraction
Eye location
Threshold segment
Integration projection
