Retinal Vessel Segmentation Algorithm Based on Orientation Scores and Frangi Filter

被引：0
|
作者：
She L.-H. [1 ]
Guo Y.-R. [1 ]
Zhang S. [1 ]
机构：
[1] School of Computer Science & Engineering, Northeastern University, Shenyang
来源：
She, Li-Huang (shelihuang@ise.neu.edu.cn) | 1600年 / Northeast University卷 / 41期
关键词：
Cake wavelet; Frangi filter; Image segmentation; Orientation score; Retinal vessel;
D O I：
10.12068/j.issn.1005-3026.2020.02.006
中图分类号：
学科分类号：
摘要：
This paper proposes an algorithm based on orientation scores combined with Frangi filter to fix the difficulties caused by bifurcation and crossings of retinal vessels. The Frangi filter, which is constructed by Hessian matrix and suitable for filtering the linear object, is used to enhance the contrast of the blood vessels.The anisotropy and orthogonality of the cake wavelet in the orientation scores are used to filter the blood vessels in multiple angles and directions, which is beneficial to the processing of details and the complete segmentation of the retinal vascular network. The comparison of the method proposed with other existing methods shows that the algorithm is better than other algorithms in processing the bifurcation and crossings, and the measurements of accuracy, sensitivity and specificity are superior to existing algorithms. © 2020, Editorial Department of Journal of Northeastern University. All right reserved.
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页码：182 / 187
页数：5
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