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

机译:利用杯子与盘比的视网膜图像中青光眼的早期检测

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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:青光眼是一种疾病,其特征在于眼压升高(IOP)。这种增加的IOP导致眼睛后部的视神经轴突的损坏,最终的视觉劣化。 CDR是检测青光眼的关键指标。现有方法使用手动阈值分析确定CDR,这是相当耗时的。本文提出了两种方法自动提取光盘。基于感兴趣的分析方法和感兴趣区域(ROI)的分割用于检测光盘。对于杯子,使用组件分析方法。后面的活动轮廓用于精确地绘制边界。该方法已在众多图像数据集中测试了来自Madurai Eye Care Center Coimbatore的图像数据集。

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