广西科学2017，Vol.24Issue(3)：242-246,5.DOI:10.13656/j.cnki.gxkx.20170525.001
基于边缘检测和灰度投影的人眼定位
Eye Localization Method based on Edge Detection and Gray Projection
摘要
Abstract
[Objective]In eye localization,human skin color is easily affected by light.To solve this problem well,this paper proposed an eye localization algorithm based on edge detection and gray projection.[Methods]Firstly,the proposed method extracted the main characteristics of human face by jointly using the Sobel edge detection method and the detection of the skin color to get the binary images of human faces.Secondly,the rough localization was obtained according to the geometrical positions of human faces. Afterwards,Logarithmic transforming was used to enhance the contrast of pupils and eyeballs. Finally,gray projection was performed in both horizontal direction and vertical direction,and the accurate position of the eye pupil was located by using curve fitting method to find the extreme value. Meanwhile,the algorithm was compared with other similar algorithms.[Results]The algorithm which adapts to different light intensity and complex interference environment can pinpoint the face with pose variation accurately. Compared with the traditional skin color detection,the accuracy is improved. But when the face image is disturbed seriously by the environment or the noise,the localization success rate of this algorithm is obviously reduced.[Conclusion]The experiment results showed that the proposed method could be adapted to different light intensity and complex interference environment. In a certain angle range,the proposed method achieved high accuracy.关键词
人眼定位/边缘提取/几何提取/灰度投影/曲线拟合Key words
eye localization/edge extraction/geometrical extraction/gray projection/curve fitting分类
信息技术与安全科学引用本文复制引用
周立宇,常侃..基于边缘检测和灰度投影的人眼定位[J].广西科学,2017,24(3):242-246,5.基金项目
国家自然科学基金项目(61401108),广西自然科学基金项目(2016GXNSFAA380154)和"大学生创新创业训练计划"广西壮族自治区立项项目(201610593187)资助. （61401108）
