一种判断瞳孔准确位置和测量眼球旋转角度的新方法

Qing-wen Lv, Xiao-hong Mo, Yuan-yuan Gao
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引用次数: 0

摘要

传统的ENG技术通过与皮肤间接接触,从眼动位移参数中获取记录。现代眼球震颤症通过摄像机获取眼球运动图像,然后计算眼球运动位移参数。在如此大噪声的图像环境下,如何判断瞳孔的准确位置和测量眼球旋转角度是该技术的难点。本文首先利用模板匹配的方法来解决在噪声较大的图像环境下如何判断瞳孔的准确定位问题,然后在图像配准中利用互信息来解决眼睛旋转角度的测量问题。在模拟测试图像中对这两种方法进行了测试,结果令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Method to Judge the Accurate Position of the Pupil and Measure the Eye Rotational Angle
Traditional ENG technology got the recording from the eye movement displacement parameters through contactting with skin indirectly. Modern nystagmus gets the eye movement image through video camera, then calculates the eye movement displacement parameters. Difficulties of this technology in so big noise image environment, are how to judge the accurate location of the pupil and how to measure the eye rotational angle. In this paper,we use the template matching method to solve how to juge the accurate positioning pupil in case of large noise image environment, followed by the use of mutual information in image registration to solve the problem of measuration of the eye rotational angle.We test these two methods in the simulated test images ,and the results are content.
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