计算机工程与应用Issue(23)：137-140,4.DOI:10.3778/j.issn.1002-8331.1205-0396
基于改进型最大类间方差法的瞳孔定位方法
Pupil location method based on improved OTSU algorithm
摘要
Abstract
To improve the accuracy and rapidity of pupil location in human-computer interaction, a method based on the improved OTSU algorithm is proposed in this paper. The image is pre-processed using light compensating and median filtering to calculate the maximum between-class variance of the pixels which exist in the image, and obtain the optimum threshold of the binary image, the pupil center and radius are got by using ellipse fitting. Experimental results show that the method is quite accurate and fast, which lays a great foundation for the eye tracking.关键词
瞳孔定位/阈值/最大类间方差法/椭圆拟合Key words
pupil location/threshold/OTSU algorithm/ellipse fitting分类
信息技术与安全科学引用本文复制引用
黄丽丽,杨帆,王东强,唐云建..基于改进型最大类间方差法的瞳孔定位方法[J].计算机工程与应用,2013,(23):137-140,4.基金项目
重庆市科技攻关计划基金资助重点项目（No.cstc2011ggB0028）。 （）
