An improved matched filter for blood vessel detection of digital retinal images

被引：209

作者：

Al-Rawi, Mohammed ^{[1
]}

Qutaishat, Munib ^{[1
]}

Arrar, Mohammed ^{[1
]}

机构：

[1] Univ Jordan, Dept Comp Sci, King Abdullah Sch Informat Technol 2, Amman 11942, Jordan

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2007年 / 37卷 / 02期

关键词：

matched filter; retina image; digital image; DRIVE; retinopathy; vessel detection;

D O I：

10.1016/j.compbiomed.2006.03.003

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The matched filter has been widely used in the detection of blood vessels of the human retina digital image. In this paper, the matched filter response to the detection of blood vessels is increased by proposing better filter parameters. These filter parameters are found by using an optimization procedure on 20 retina images of the DRIVE database. Comparisons with other approaches show that the matched filter that uses the newly found parameters outperforms the matched filter that uses the classical filter parameters as well as some vessel detection techniques. A technique is also discussed to find the best threshold value for the continuous matched filter output image and hence the best segmented vessel image. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：262 / 267

页数：6

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