Detection of blood vessels in the retina with multiscale Gabor filters

被引:35
|
作者
Rangayyan, Rangaraj M. [1 ]
Ayres, Fabio J. [1 ]
Oloumi, Faraz [1 ]
Oloumi, Foad [1 ]
Eshghzadeh-Zanjani, Peyman [1 ]
机构
[1] Univ Calgary, Dept Elect & Comp Engn, Schulich Sch Engn, Calgary, AB T2N 1N4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1117/1.2907209
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
We propose image processing techniques for the detection of blood vessels in fundus images of the retina. The methods include the design of a bank of directionally sensitive Gabor filters with tunable scale and elongation parameters. Forty images of the retina from the Digital Retinal Images for Vessel Extraction database were used to evaluate the performance of the methods. The results of blood vessel detection using inverted green-channel images were compared with the corresponding manually segmented blood vessels. High efficiency in the detection of blood vessels with the area under the receiver operating characteristics curve of up to 0.96 was achieved with a combination of Gabor filters at three scales. (C) 2008 SPIE and IS&T.
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页数:7
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