摘要
在疲劳识别中,眼睛状态能有效的反应驾驶员的疲劳度,系统须提高对人眼状态的准确定位。本文首先引入了同态滤波算法,消弱光照不均匀对图像处理的影响。滤波后的图像采用Ostu法进行二值化,分割出眼睛区域。将提取出的眼睛区域作为模版,利用MeanShift法跟踪眼睛区域。本文通过几种图像优化方法的结合,达到了快速眼睛提取的目的。
In the weary recognition,the eye condition could response driver＇s fatigue effectively.In order to improve the status of the human eye accurately positioning￡ this paper introduces the homomorphic filter to weaken the non-uniform illumination of the image processing effects.The filtered image using Ostu binarization method,split out of the eye area.The extracted eye region as a template,using MeanShift method to track the eye area.In this paper,the combination of several image optimization method to achieve the purpose of rapid eye extract.
