Severe: Segmenting vessels in retina images

被引:16
作者
Frucci, Maria [1 ]
Riccio, Daniel [2 ]
di Baja, Gabriella Sanniti [1 ,3 ]
Serino, Luca [1 ]
机构
[1] CNR, Inst High Performance Comp & Networking, Via Pietro Castellino 111, I-80131 Naples, Italy
[2] Univ Napoli Federico II, Via Claudio 21, I-80125 Naples, Italy
[3] CNR, Inst Cybernet E Caianiello, Via Campi Flegrei 34, I-80078 Naples, Italy
关键词
Retina scan images; Segmentation; Biometrics; Direction map; FUNDUS IMAGES; MATCHED-FILTER; SEGMENTATION; CLASSIFICATION; ANGIOGRAMS;
D O I
10.1016/j.patrec.2015.07.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the unsupervised retinal vessels segmentation method, SEVERE (SEgmenting VEssels in REtina images), which is based on the direction map of retina scan images assigning each pixel one out of twelve discrete directions. SEVERE works on the green channel of RGB retina scan images. It does not require any pre-processing phase and all the computations are done exclusively on the direction map. SEVERE has been checked on publicly available datasets producing qualitatively satisfactory results and outperforming other existing methods in terms of quantitative performance evaluation parameters, such as accuracy and sensitivity. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:162 / 169
页数:8
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