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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Optic disc and cup segmentation in fundus retinal images using feature detection and morphological techniques
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Optic disc and cup segmentation in fundus retinal images using feature detection and morphological techniques

机译：眼底视网膜图像中的光盘和杯分割使用特征检测和形态学技术

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摘要

Segmentation of optic disc and cup from the fundus retinal image helps in the detection of glaucoma which is one of the important causes for vision loss. In this study, we propose a method for optic disc followed by optical cup segmentation. The retinal input image is first preprocessed by applying histogram equalization and the connected components in the image are obtained. On applying the circle detection Hough transform, the circular-shaped optic disc is segmented from the other connected components. The morphological closing operation is applied on the segmented optic disc area to identify the optic cup location. The optic cup is then segmented by applying Otsu's thresholding only on the extracted green channel of the retinal image. The proposed method was evaluated using DRISHTI-GS dataset containing 50 test images. The performance metrics such as dice coefficient, average boundary localization error and cup-disc ratio error were obtained by comparing the proposed method with the ground truth values of 51 training images in the DRISHTI-GS dataset.
机译：光盘和来自眼底图像的杯子的分割有助于葡萄糖的检测，这是视力丧失的重要原因之一。在本研究中，我们提出了一种用于光盘的方法，然后是光学杯分割。首先通过施加直方图均衡来预处理视网膜输入图像，并且获得图像中的连接组件。在施加圆检测霍夫变换时，圆形光盘从另一个连接的部件分段。在分段的光盘区域施加形态闭合操作以识别光学杯位置。然后通过仅在视网膜图像的提取的绿色通道上施加OTSU的阈值来分割光学杯。使用包含50个测试图像的DRISHTI-GS数据集来评估所提出的方法。通过将所提出的方法与DRISHTI-GS数据集中的51次训练图像的地面真实值进行比较，获得了骰子系数，平均边界定位误差和杯盘比率误差等性能度量。

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