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Optic Disc Localization in Complicated Environment of Retinal Image Using Circular-Like Estimation

机译:复杂循环成像中视网膜图像的光盘定位

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摘要

Optic disc (OD) localization is an important prerequisite task for developing systems for automated diagnosis of various serious ophthalmic pathologies. New hybrid algorithms for disc localization are presented in this research. For classical disc localization, the data sources are complete and typically have normal ocular structure. Our investigation concerns the conditions in some complex environments such as when unbalanced shade in an image occurs, or when a low contrast OD disturbed shape OD exists, and in the case where various bright lesions are found. In this paper, fully automatic disc localization in retinal fundus images within various complicated environments is proposed. This technique is designed for identifying disc candidate locations in the case of unclear disc boundaries and when unbalanced shading may be present. A combination of modified smoothed gradient edge generation and a Hough transform is deployed. All candidate results are combined to locate the final location using a simple voting method. The proposed approach was evaluated on seven publicly available datasets: DIARETDB0, DIARETDB1, MESSIDOR, ROC, E-OPHTHA, HRF, and ARIA databases. The accuracy of the proposed method is 99.23%, 100.00%, 98.58%, 99.00%, 96.34%, 100.00%, and 91.61%, respectively.
机译:光盘(OD)定位是开发用于自动诊断各种严重眼科疾病的系统的重要先决任务。这项研究提出了用于磁盘定位的新混合算法。对于经典的椎间盘定位,数据源是完整的,通常具有正常的眼结构。我们的研究涉及某些复杂环境中的条件,例如当图像中出现不平衡的阴影时,或当存在低对比度OD干扰形状OD时,以及在发现各种明亮病变的情况下。本文提出了在各种复杂环境中视网膜眼底图像的全自动椎间盘定位技术。此技术旨在在光盘边界不清晰以及阴影不平衡时识别光盘候选位置。部署了修改的平滑梯度边缘生成和Hough变换的组合。使用简单的投票方法将所有候选结果组合在一起以找到最终位置。在七个公开可用的数据集上评估了所提出的方法:DIARETDB0,DIARETDB1,MESSIDOR,ROC,E-OPHTHA,HRF和ARIA数据库。该方法的准确性分别为99.23%,100.00%,98.58%,99.00%,96.34%,100.00%和91.61%。

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