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首页> 外文期刊>Journal of Digital Imaging >Application of Morphological Bit Planes in Retinal Blood Vessel Extraction
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Application of Morphological Bit Planes in Retinal Blood Vessel Extraction

机译：形态位平面在视网膜血管提取中的应用

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摘要

The appearance of the retinal blood vessels is an important diagnostic indicator of various clinical disorders of the eye and the body. Retinal blood vessels have been shown to provide evidence in terms of change in diameter, branching angles, or tortuosity, as a result of ophthalmic disease. This paper reports the development for an automated method for segmentation of blood vessels in retinal images. A unique combination of methods for retinal blood vessel skeleton detection and multidirectional morphological bit plane slicing is presented to extract the blood vessels from the color retinal images. The skeleton of main vessels is extracted by the application of directional differential operators and then evaluation of combination of derivative signs and average derivative values. Mathematical morphology has been materialized as a proficient technique for quantifying the retinal vasculature in ocular fundus images. A multidirectional top-hat operator with rotating structuring elements is used to emphasize the vessels in a particular direction, and information is extracted using bit plane slicing. An iterative region growing method is applied to integrate the main skeleton and the images resulting from bit plane slicing of vessel direction-dependent morphological filters. The approach is tested on two publicly available databases DRIVE and STARE. Average accuracy achieved by the proposed method is 0.9423 for both the databases with significant values of sensitivity and specificity also; the algorithm outperforms the second human observer in terms of precision of segmented vessel tree.
机译：视网膜血管的出现是眼睛和身体各种临床疾病的重要诊断指标。视网膜血管已被证明可提供眼科疾病导致直径，分支角度或曲折度变化的证据。本文报道了一种在视网膜图像中自动分割血管的方法的发展。提出了视网膜血管骨架检测和多方向形态位平面切片方法的独特组合，以从彩色视网膜图像中提取血管。应用定向微分算子提取主血管的骨架，然后评估微分符号和平均微分值的组合。数学形态学已经成为量化眼底图像中视网膜脉管系统的一种熟练技术。具有旋转结构元素的多方向礼帽运算符用于在特定方向上强调血管，并使用位平面切片提取信息。应用迭代区域生长方法来整合主骨架和与血管方向相关的形态滤波器的位平面切片所产生的图像。该方法已在两个公共数据库DRIVE和STARE上进行了测试。所提方法对两个数据库的平均准确度均为0.9423，同时具有很高的敏感性和特异性。该算法在分割血管树的精度方面优于第二个人观察者。

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