Blood Vessel Segmentation from Retinal Images based on Enhencement Methods

被引：0
|
作者：
Yavuz, Zafer [1 ]
Kose, Cemal [1 ]
机构：
[1] Karadeniz Tech Univ, Bilgisayar Muhendisligi Bolumu, Trabzon, Turkey
来源：
2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2014年
关键词：
Vessel segmentation; retinal fundus image; gabor filter; top-hat transform;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Usage of Computer Aided Diagnostic (CAD) systems is increasing rapidly. Blood vessel segmentation on retinal fundus images could be used as a CAD system for diagnosis of various retinal diseases. In this paper, blood vessels are segmented on retinal fundus images. Firstly, Gabor filter and morphological top-hat transform are applied after preprocessing step in order to enhance blood vessels. Afterward, we performed p-tile thresholding method to obtain binary vessel image. At the last step a post processing method is applied to increase accuracy. In order to test the developed system, the images obtained from STARE and DRIVE databases are used. Finally, 94.02% of accuracy for STARE database and 94.59% of accuracy for DRIVE database are obtained as a result, which is promising.
引用
收藏
页码：907 / 910
页数：4
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