基于快速径向对称变换的视盘定位

A. Budai, A. Aichert, Bronislav Vymazal, J. Hornegger, G. Michelson
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引用次数: 8

摘要

眼底成像是筛查、诊断眼病和某些血管异常最常用的方法之一。由于其广泛的可用性,眼底图像的自动评估为当前的临床实践提供了巨大的潜在好处。许多自动评估或诊断的基础是眼睛背景的分割,最明显的是视盘的检测和视网膜血管树的分割。在这项工作中,我们提出了一种快速径向对称变换(FRST)的变体,适应其在眼底图像视盘检测中的应用。我们使用具有金标准信息的高分辨率数据库的45张图像,评估并比较了我们的方法与标准FRST和类似的基于梯度的圆形霍夫变换的性能。实验结果表明,该方法的平均定位误差为0.051±0.073,优于现有算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optic disk localization using fast radial symmetry transform
Fundus imaging is one of the most frequently used modalities for screening, diagnosis of eye diseases and some vascular abnormalities. Due to its wide availability, automatic evaluation of fundus images offers great potential benefits to current clinical practice. The basis of many automatic evaluations or diagnosis is the segmentation of the eye background, most notably, the detection of the optic disk and the segmentation of the retinal vessel tree. In this work we propose a variant of the fast radial symmetry transform (FRST), adapted to its application in the detection of the optic disk in fundus images. We evaluated and compared the performance of our method to the standard FRST and the similar, gradient based circular Hough transform using 45 images of a high resolution database with gold standard information available. We demonstrated in our experiments that the proposed method outperforms the state-of-the-art algorithms with 0.051 ± 0.073 optic disk diameter localization error in average.
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