Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction
Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction
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DOI：
10.1109/tmi.2006.879955
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发表时间：
2006-09-01
影响因子：
10.6
通讯作者：
Campilho, Aurelio
中科院分区：
文献类型：
--
作者：
Mendonca, Ana Maria;Campilho, Aurelio
本文提出了一种用于视网膜图像中血管网络分割的自动化方法。该算法从提取容器中心线开始，该中心线用作后续容器填充阶段的指南。为此，处理四个方向微分算子的输出，以便选择连接的候选点集，以使用血管导出特征进一步分类为中心线像素。最终的分割是使用迭代区域生长方法获得的，该方法集成了由血管宽度相关的形态滤波器产生的多个二值图像的内容。我们的方法在两个公开可用的数据库上进行了测试，并将其结果与最近发布的方法进行了比较。结果表明，我们的算法优于其他解决方案，接近人类观察者的平均准确度，而不会显着降低灵敏度和特异性。
This paper presents an automated method for the segmentation of the vascular network in retinal images. The algorithm starts with the extraction of vessel centerlines, which are used as guidelines for the subsequent vessel filling phase. For this purpose, the outputs of four directional differential operators are processed in order to select connected sets of candidate points to be further classified as centerline pixels using vessel derived features. The final segmentation is obtained using an iterative region growing method that integrates the contents of several binary images resulting from vessel width dependent morphological filters. Our approach was tested on two publicly available databases and its results are compared with recently published methods. The results demonstrate that our algorithm outperforms other solutions and approximates the average accuracy of a human observer without a significant degradation of sensitivity and specificity.