离焦模糊虹膜图像的功率谱检焦方法

J4 ›› 2012, Vol. 50 ›› Issue (4): 745-749.

离焦模糊虹膜图像的功率谱检焦方法

左平^1,2, 冯雪², 陈守东¹, 刘天宝², 秦丹丹², 申延成²

1. 吉林大学商学院, 长春 130012|2. 空军航空大学基础部, 长春 130022

出版日期:2012-07-01 发布日期:2012-09-07
通讯作者: 陈守东 E-mail:chensd@jlu.edu.cn

Power Spectrum Autofocusing Methods-of Defocus Blurred Iris Image

ZUO Ping ^1,2, FENG Xue ², CHEN Shou-dong ¹, LIU Tian-bao ², QIN Dan-dan², SHEN Yan-cheng²

1. College of Business, Jilin University, Changchun 130012, China;
2. Department of Foundation, Aviation University of Air Force, Changchun 130022, China

Online:2012-07-01 Published:2012-09-07
Contact: CHEN Shou-dong E-mail:chensd@jlu.edu.cn

摘要/Abstract

摘要：

通过研究离焦模糊虹膜图像功率谱与离焦量间的关系, 建立了每幅虹膜图像的检焦评价函数值PS与图像模糊半径的关系曲线. 实验结果表明: 功率谱评价函数能够检测系统是否合焦, 并通过最清晰图像找到系统调焦镜的位置; 对评价函数曲线进行Gauss拟合的曲线相关系数为0.994 7（接近1）, 验证了功率谱检焦评价函数检焦的准确率.

关键词: 离焦模糊虹膜图像, 功率谱, 检焦评价函数

Abstract:

The authors proposed a power spectrum autofocusing method based on defocus iris images. Firstly, we gave the relation curve between autofocusing evaluation function value PS and blur radius of each iris image. Experiments show that the power spectrum evaluation function could find the location of system focusing mirror when the image is clearest. Moreover, we dealt with evaluation function curve by means of Gaussian fitting, and the relation number of the curve could reach 0.994 7(close to 1), verifying the accuracy of the power spectrum autofocusing evaluation function.

Key words: defocus blurred iris image, power spectrum, autofocusing evaluation function

中图分类号:

左平, 冯雪, 陈守东, 刘天宝, 秦丹丹, 申延成. 离焦模糊虹膜图像的功率谱检焦方法[J]. J4, 2012, 50(4): 745-749.

ZUO Ping, FENG Xue, CHEN Shoudong, LIU Tianbao, QIN Dandan, SHEN Yan cheng. Power Spectrum Autofocusing Methods-of Defocus Blurred Iris Image[J]. J4, 2012, 50(4): 745-749.