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首页> 外文期刊>Fortschritt-Berichte VDI >Automatic Optic Disk Localization and Diameter Estimation in Retinal Fundus Images
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Automatic Optic Disk Localization and Diameter Estimation in Retinal Fundus Images

机译：视网膜底图像中的自动光盘定位和直径估计

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摘要

Optic disk localization is a necessary step in most automatic screening systems for ophthalmic pathologies. In this paper, we propose a novel approach to automatically determine the location and the diameter of the optic disk in retinal fundus images. Our proposed method is based on the circular shape of the optic disk and the distribution of blood vessels. We first detect blood vessels by a vessel detector named B-COSFIRE filter. Then we apply a bank of anti-symmetric Gabor filiters on the grayscale fundus image to detect edges. Finally, we identify the optic disk by applying the Circular Hough Transform (CHT) to detect candidates for circles and select among them the one that encloses the highest proportion of vessel pixels. We evaluate the proposed approach on two publicly available data sets: CHASEDB1 and ONH Hunter. We correctly localize 96.43% and 96.97% of the optic disks in these two sets, respectively. For each image, we compare the manually determined hight (vertical diameter) of the optic disk with the automatically computed one by the CHT. The relative errors we obtain for the two data sets of the optic disk are 10.69% and 8.78%, respectively.
机译：在大多数眼科病理自动检查系统中，光盘定位是必不可少的步骤。在本文中，我们提出了一种新颖的方法来自动确定视网膜底图像中视盘的位置和直径。我们提出的方法是基于视盘的圆形形状和血管分布。我们首先通过名为B-COSFIRE过滤器的血管检测器检测血管。然后，在灰度眼底图像上应用一堆反对称Gabor滤镜以检测边缘。最后，我们通过应用圆形霍夫变换（CHT）来检测圆的候选对象，并在其中选择包含最高比例的血管像素的对象，从而识别出视盘。我们在两个公开可用的数据集（CHASEDB1和ONH Hunter）上评估了所提出的方法。我们分别正确地将这两套光盘中的96.43％和96.97％定位在本地。对于每张图像，我们将手动确定的光盘高度（垂直直径）与CHT自动计算的高度进行比较。我们从光盘的两个数据集获得的相对误差分别为10.69％和8.78％。

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  • 来源
    《Fortschritt-Berichte VDI》 |2015年第842期|70-79|共10页
  • 作者

    Jiapan Guo; Chenyu Shi; Nomdo M. Jansonius; Nicolai Petkov;

  • 作者单位

    Johann Bernoulli Institute for Mathematics and Computer Science University of Groningen, The Netherlands;

    Johann Bernoulli Institute for Mathematics and Computer Science University of Groningen, The Netherlands;

    Department of Ophthalmology, University Medical Center Groningen (UMCG), Groningen, The Netherlands;

    Johann Bernoulli Institute for Mathematics and Computer Science University of Groningen, The Netherlands;

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