基于相位信息的人眼状态检测

吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 265-269.

基于相位信息的人眼状态检测

史东承, 郑超

长春工业大学计算机科学与工程学院,长春 130012

收稿日期:2012-05-16 发布日期:2013-06-01
通讯作者: 郑超 (1987-),男,硕士研究生.研究方向:图像处理与机器视觉.E-mail:zc3950@sina.com E-mail:zc3950@sina.com
作者简介:史东承(1959-),男,教授.中国图像图形学学会理事.研究方向:图像处理与机器视觉.E-mail:dcshi@mail.ccut.edu.cn

Eye states detection algorithm based on phase information

SHI Dong-cheng, ZHENG Chao

College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China

Received:2012-05-16 Published:2013-06-01

摘要/Abstract

摘要：

为有效解决不同光照环境对人眼检测算法带来的诸多问题,提出一种基于相位信息的眼部状态检测算法,首先使用相位信息对眼部区域的边缘特征进行提取,然后依据垂直直方图统计二值化图像中白色像素数,最后设定合理阈值对人眼状态作出判断。实验结果表明,算法在保证识别正确率的同时对环境亮度变化具有较好的鲁棒性。

关键词: 眼部状态检测, 相位一致性, 边缘提取, 相位信息

Abstract:

As different illumination scenes influenced on the result of the algorithm,we proposed an eye states detection algorithm based on phase information.After using phase congruency to extract the feature of eye,the result image and calculate the number of white pixels was culated to examine the eye states according to vortical histogram.The experimental result shows that it is robust to different illumination environments and has good accuracy.

Key words: eye states, phase congruency, feature extraction, phase information

中图分类号:

TP391

史东承, 郑超. 基于相位信息的人眼状态检测[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 265-269.

SHI Dong-cheng, ZHENG Chao. Eye states detection algorithm based on phase information[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 265-269.

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