Automatic Localization of Optic Disc in Fundus Image Using Iterative Background Removal

Athasart Narkthewan, Noppadol Maneerat
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引用次数: 1

Abstract

Diabetic retinopathy (DR) is leading to cause of blood clot stimulating the formation of abnormal new blood vessels. hemorrhage and protein secretion from blood vessels to retinal tissue. The retinal damage causes the loss of sight thus the localization of Optic Disc is necessary for analysis of the abnormal retinal image. However, the data located at the Optic Disc image are similar to Hard Exudates in the retinal image. Therefore, the aim of the present study is to detect Optic Disc using the technique of background removal. The principle of image processing is also applied for the retinal image. The image data from Fundus camera are recorded in RGB color model separated into 3 channels: red, green and blue channel. The data of all channels are evaluated by the preprocessing algorithm to make a more clear appearance of Optic Disc. Subsequently, the preprocessing image is analyzed by iterative background removal using entropy evaluation of the image data. Finally., the variance analysis of data intensity is performed in both the horizontal and vertical axis to determine the localization and size of Optic Disc. The result shows that the accuracy of localization and size of Optic Disc is approximately 98%. It indicates that this method is useful for retinal image analysis of diabetic retinopathy.
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基于迭代背景去除的眼底图像视盘自动定位
糖尿病视网膜病变(DR)是引起血凝块刺激异常新血管形成的主要原因。从血管到视网膜组织的出血和蛋白质分泌。视网膜损伤导致视力丧失,视盘定位是分析视网膜异常图像的必要条件。然而,视盘图像上的数据与视网膜图像上的硬渗出物相似。因此,本研究的目的是利用背景去除技术检测视盘。图像处理的原理也适用于视网膜图像。眼底相机的图像数据以RGB颜色模型记录,分为红、绿、蓝3个通道。通过预处理算法对所有通道的数据进行评估,使视盘的外观更加清晰。然后,利用图像数据的熵值评估,对预处理图像进行迭代背景去除分析。最后。,在水平轴和垂直轴上对数据强度进行方差分析,确定视盘的定位和大小。结果表明,该方法对视盘的定位精度和尺寸精度可达98%左右。表明该方法可用于糖尿病视网膜病变的视网膜图像分析。
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