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首页> 外文期刊>Biomedical Engineering, IEEE Transactions on >Automatic Optic Disc Detection From Retinal Images by a Line Operator
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Automatic Optic Disc Detection From Retinal Images by a Line Operator

机译:线操作员从视网膜图像自动检测光盘

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摘要

Under the framework of computer-aided eye disease diagnosis, this paper presents an automatic optic disc (OD) detection technique. The proposed technique makes use of the unique circular brightness structure associated with the OD, i.e., the OD usually has a circular shape and is brighter than the surrounding pixels whose intensity becomes darker gradually with their distances from the OD center. A line operator is designed to capture such circular brightness structure, which evaluates the image brightness variation along multiple line segments of specific orientations that pass through each retinal image pixel. The orientation of the line segment with the minimum/maximum variation has specific pattern that can be used to locate the OD accurately. The proposed technique has been tested over four public datasets that include 130, 89, 40, and 81 images of healthy and pathological retinas, respectively. Experiments show that the designed line operator is tolerant to different types of retinal lesion and imaging artifacts, and an average OD detection accuracy of 97.4% is obtained.
机译:在计算机辅助眼病诊断的框架下,本文提出了一种自动光盘检测技术。提出的技术利用了与OD相关的独特的圆形亮度结构,即OD通常具有圆形形状,并且比周围像素的亮度更高,周围像素的强度随着距OD中心的距离逐渐变暗。线运算符被设计为捕获这种圆形亮度结构,其评估沿穿过每个视网膜图像像素的特定方向的多个线段的图像亮度变化。具有最小/最大变化的线段的方向具有可用于精确定位OD的特定模式。该技术已在四个公共数据集上进行了测试,分别包括130、89、40和81个健康和病理视网膜的图像。实验表明,所设计的线算子能够耐受不同类型的视网膜病变和成像伪影,并且平均OD检测准确度达到97.4%。

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