基于灰度图像的人脸预处理系统的设计

The study and design of facial pretreatment system based on gray image

设计及实现了一个完整的基于灰度图像的人脸预处理系统,系统中所用的滤波算法能有效地滤除混合噪声,人眼定位算法能快速准确地找到眼睛的位置,识别率高,容易实现,运算量少,且与图像的平移、旋转、尺度无关.该系统是一个成形的系统,为人脸特征的提取及人脸的识别奠定了基础.

This paper brings forward a integral design and implementation of a system of facial pretreatment based on gray image. In this system the filtering algorithm can filter mixed noise efficiently,and the facial location algorithm can find facial location guickly and accurately, and this algorithm is easy to implement with less computation and independent of transmission, rotation and image size. This system is a perfect one and establishes the base for facial extraction and facial recognition.