Comparative Study of Retinal Vessel Segmentation Methods

被引：0
|
作者：
Justin, Judith [1 ]
Vanithamani, R. [1 ]
Christina, R. Renee [1 ]
机构：
[1] Avinashilingam Univ Women, Dept Biomed Instrumentat Engn, Coimbatore, Tamil Nadu, India
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC) | 2015年
关键词：
Diabetic Retinopathy; Segmentation; Retinal Blood Vessel;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Diabetic Retinopathy is one of the important complications of the diabetes mellitus, which causes serious damage to the retina leading to visual damage. Retinal vessel segmentation plays an important role in automatic retinal disease screening systems. An accurate segmentation is mandatory for the pathological analysis. To support this, several automated systems were designed in the past years. This paper analyses and compares five different segmentation methods, which exist in the literature. The performance of the algorithms is tested with the images available in DRIVE and STARE databases.
引用
收藏
页码：67 / 69
页数：3
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