Detection of Blood Vessels in Retinal Fundus Images

被引：0

作者：

Oloumi, Faraz ^{[1
]}

Dhara, Ashis K. ^{[2
]}

Rangayyan, Rangaraj M. ^{[1
]}

Mukhopadhyay, Sudipta ^{[2
]}

机构：

[1] Univ Calgary, Dept Elect & Comp Engn, Schulich Sch Engn, Calgary, AB T2N 1N4, Canada

[2] Indian Inst Technol, Dept Elect & Elect Commun Engn, Kharagpur 721302, W Bengal, India

来源：

COMPUTER SCIENCE JOURNAL OF MOLDOVA | 2014年 / 22卷 / 02期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Gabor filter; line operator; matched filter; multiscale analysis; retinal fundus image; vessel detection; vesselness measure;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Detection of blood vessels in retinal fundus images is an important initial step in the development of systems for computer aided diagnosis of pathologies of the eye. In this study, we perform multifeature analysis for the detection of blood vessels in retinal fundus images. The vessel detection techniques implemented include multiscale vesselness measures, Gabor filters, line operators, and matched filters. The selection of an appropriate threshold is crucial for accurate detection of retinal blood vessels. We evaluate an adaptive threshold selection method along with several others for this purpose. We also propose a postprocessing technique for removal of false-positive pixels around the optic nerve head. Values of the area under the receiver operating characteristic curve of up to 0.961 were obtained using the 20 test images of the DRIVE database.

引用

页码：155 / 185

页数：31

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