Detection of blood vessels in the retina with multiscale Gabor filters

Rangaraj Mandayam Rangayyan; Fábio José Ayres; Faraz Oloumi; Foad Oloumi; Peyman Eshghzadeh-Zanjani

doi:10.1117/1.2907209

1 April 2008 Detection of blood vessels in the retina with multiscale Gabor filters

Rangaraj Mandayam Rangayyan, Fábio José Ayres, Faraz Oloumi, Foad Oloumi, Peyman Eshghzadeh-Zanjani

Author Affiliations +

Journal of Electronic Imaging, Vol. 17, Issue 2, 023018 (April 2008). https://doi.org/10.1117/1.2907209

Abstract

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.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Rangaraj Mandayam Rangayyan, Fábio José Ayres, Faraz Oloumi, Foad Oloumi, and Peyman Eshghzadeh-Zanjani "Detection of blood vessels in the retina with multiscale Gabor filters," Journal of Electronic Imaging 17(2), 023018 (1 April 2008). https://doi.org/10.1117/1.2907209

Published: 1 April 2008

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available