A graph-based method for blood vessel segmentation of retinal images

被引：0
|
作者：
Zhang, J. D. [1 ]
Jiang, W. H.
Zhang, C. X. [1 ]
Cui, Y. J. [1 ]
机构：
[1] Shenzhen Inst Informat Technol, Dept Elect & Commun, Shenzhen, Peoples R China
来源：
BIOINFORMATICS AND BIOMEDICAL ENGINEERING: NEW ADVANCES | 2016年
关键词：
medical image segmentation; retinal images; graph-based algorithm; K-mean algorithm; DATABASE;
D O I：
暂无
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
Segmentation of blood vessels from retinal images plays a crucial role for diagnosing eye diseases. In this paper, we propose an automatic segmentation method for blood vessels in retinal images. Firstly, we preprocess the retinal images to enhance vessels and overcome the lighting variation. Then, a graph-based algorithm is exploited to partition the retinal image into multiple regions. Finally, we classify each region as retinal region or non-vessel region with K-mean algorithm. The proposed method is validated on the publicly available DRIVE database, and compared with the state-of-the-art algorithms.
引用
收藏
页码：163 / 169
页数：7
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