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Segmentation of Optic Disc in Fundus Images Using an Active Contour

机译:使用主动轮廓线分割眼底图像中的视盘

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A successful optic disc (OD) segmentation is an important task for automated detection white lesions related to diabetic retinopathy. Therefore, exudate detection is the authors' major purpose, but they must extract the OD prior to the process because it appears with similar color, intensity and contrast to other characteristics of the retinal image. The retinal image consists of blood vessels that emerge from the OD. The presence of these blood vessels may act as a disturbance for the detection of OD. This article presents a novel method for segmentation of the OD in retinal images. The methodology includes localization of the OD center, followed by elimination of vascular structure using an inpainting method. Finally, an active contour model was applied to boundary OD segmentation. The results are compared with a ground truth image from the ophthalmologist. The source retinal image for performing this work was obtained from the publicly available DRIVE and MESSIDOR databases. This method offers a successful segmentation of OD which may help in diagnosis of various retinal abnormalities.
机译:成功的视盘(OD)分割是自动检测与糖尿病性视网膜病变相关的白色病变的重要任务。因此,渗出液检测是作者的主要目的,但他们必须在处理之前提取OD,因为它的颜色,强度和对比度与视网膜图像的其他特征相似。视网膜图像由从OD出来的血管组成。这些血管的存在可能会干扰OD的检测。本文提出了一种在视网膜图像中OD分割的新方法。该方法包括定位OD中心,然后使用修复方法消除血管结构。最后,将主动轮廓模型应用于边界OD分割。将结果与眼科医生的地面真实图像进行比较。从公开的DRIVE和MESSIDOR数据库获得了用于执行此工作的源视网膜图像。这种方法可以成功地对OD进行分割,这可能有助于诊断各种视网膜异常。

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