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Early detection of glaucoma in retinal images using cup to disc ratio

机译:杯盘比早期检测视网膜图像中的青光眼

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Glaucoma is a disease characterized by elevated intraocular pressure (IOP). This increased IOP leads to damage of optic nerve axons at the back of the eye, with eventual deterioration of vision. CDR is a key indicator for the detection of glaucoma. The existing approaches determined the CDR using manual threshold analysis which is fairly time consuming. This paper proposes two methods to extract the disc automatically. The component analysis method and region of interest (ROI) based segmentation are used for the detection of disc. For the cup, component analysis method is used. Later the active contour is used to plot the boundary accurately. This method has been tested on numerous image data sets from Madurai Eye Care Centre, Coimbatore.
机译:青光眼是一种以眼内压升高(IOP)为特征的疾病。增加的IOP会导致眼后视神经轴突受损,并最终导致视力下降。 CDR是检测青光眼的关键指标。现有的方法使用手动阈值分析来确定CDR,这非常耗时。本文提出了两种自动提取光盘的方法。基于分量分析的方法和基于感兴趣区域(ROI)的分割用于检测光盘。对于杯子,使用成分分析方法。之后,使用活动轮廓来精确绘制边界。该方法已经在来自哥印拜陀市Madurai眼保健中心的大量图像数据集上进行了测试。

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