非接触眼压计的人眼瞳孔定位算法研究
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中北大学机械工程学院,太原 030051

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TP391

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国家自然科学基金项目(51905496)资助


Song Baoquan Du Wenhua Duan Nengquan Li Xian
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School of Mechanical Engineering,North University of China,Taiyuan 030051, China

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    摘要:

    为了提高非接触眼压计自动化程度,加快人眼瞳孔定位效率,提出了一种采用基于XLD轮廓的多模板匹配算法,可实现对人眼瞳孔快速精确定位,并增加了非接触眼压计瞳孔定位检测范围,提高了自动化水平。同时对误检图像,采用了双边滤波、阈值分割和腐蚀膨胀处理,再通过设定参数得到瞳孔区域,最后使用Hough变换实现对误检图像的重新定位。实验结果表明,所提出的方法的定位成功率在99%以上,误差在5像素以内,平均定位为0.121s,能够精准、快速的得到人眼瞳孔的中心坐标,可以满足非接触眼压计对瞳孔精确定位和快速定位的要求,同时对个体瞳孔差异、姿态差异、瞳孔部分被遮挡、边缘光斑影响等干扰因素有较强的鲁棒性和泛化性。

    Abstract:

    In order to improve the automation degree of non-contact tonometer and speed up the efficiency of human eye pupil location, a multi template matching algorithm based on XLD contour is proposed, which can realize the rapid and accurate location of human eye pupil, increase the detection range of non-contact tonometer pupil location and improve the automation level. At the same time, for the false detection image, bilateral filtering, threshold segmentation and corrosion expansion processing are adopted, and then the pupil region is obtained by setting parameters. Finally, Hough transform is used to reposition the false detection image. The experimental results show that the positioning success rate of the proposed method is more than 99%, the error is within 5 pixels, and the average positioning is 0.121s. It can accurately and quickly obtain the central coordinates of the human eye pupil, and can meet the requirements of the non-contact tonometer for accurate and rapid pupil positioning. At the same time, it has strong robustness and generalization to interference factors such as individual pupil difference, posture difference, partial occlusion of pupil, influence of edge spot and so on.

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宋保全,杜文华,段能全,李献.非接触眼压计的人眼瞳孔定位算法研究[J].电子测量技术,2022,45(3):112-117

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  • 在线发布日期: 2024-06-14
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