视网膜图像视盘中心点的检测

Latifah Listyalina, Dhimas Arief Dharmawan
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引用次数: 3

摘要

青光眼和糖尿病视网膜病变(DR)是世界上最常见的两种视网膜相关疾病。青光眼可以通过测量视盘比(CDR)来诊断,CDR是指视杯与视盘垂直直径的比值。基于计算机的视盘有望帮助眼科医生找到青光眼和DR诊断所必需的视盘位置。然而,目前可用的许多视盘检测算法通常是非自动的,并且仅适用于健康的视网膜图像。因此,目前还没有关于如何从不健康患者的视网膜图像中计算提取视盘的信息。在本研究工作中,开发了视盘在视网膜彩色眼底图像上的自动检测方法,以方便和协助眼科医生诊断视网膜相关疾病。结果表明,该方法可用于青光眼的计算机辅助诊断和糖尿病视网膜病变系统的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Optic Disc Centre Point in Retinal Image
Glaucoma and diabetic retinopathy (DR) are the two most common retinal related diseases occurred in the world. Glaucoma can be diagnosed by measuring optic cup to disc ratio (CDR) defined as optic cup to optic disc vertical diameter ratio of retinal fundus image. A computer based optic disc is expected to assist the ophthalmologist to find their location which are necessary for glaucoma and DR diagnosis. However, many optic disc detection algorithms available now are commonly non-automatic and only work in healthy retinal image. Therefore, there is not information on how optic disc in retinal image of unhealthy patient can be extracted computationally. In this research work, the method for automated detection of optic disc on retinal colour fundus images has been developed to facilitate and assist ophthalmologists in the diagnosis of retinal related diseases. The results indicated that the proposed method can be implemented in computer aided diagnosis of glaucoma and diabetic retinopathy system development.
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