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Reseach Article

Support System for the Automated Detection of Hypertensive Retinopathy using Fundus Images

Published on February 2013 by Kevin Noronha, Navya K. T, K Prabhakar Nayak
International Conference on Electronic Design and Signal Processing
Foundation of Computer Science USA
ICEDSP - Number 1
February 2013
Authors: Kevin Noronha, Navya K. T, K Prabhakar Nayak
236c0872-3cfa-48cf-b82b-a4185ca8e780

Kevin Noronha, Navya K. T, K Prabhakar Nayak . Support System for the Automated Detection of Hypertensive Retinopathy using Fundus Images. International Conference on Electronic Design and Signal Processing. ICEDSP, 1 (February 2013), 7-11.

@article{
author = { Kevin Noronha, Navya K. T, K Prabhakar Nayak },
title = { Support System for the Automated Detection of Hypertensive Retinopathy using Fundus Images },
journal = { International Conference on Electronic Design and Signal Processing },
issue_date = { February 2013 },
volume = { ICEDSP },
number = { 1 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 7-11 },
numpages = 5,
url = { /specialissues/icedsp/number1/10346-1004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronic Design and Signal Processing
%A Kevin Noronha
%A Navya K. T
%A K Prabhakar Nayak
%T Support System for the Automated Detection of Hypertensive Retinopathy using Fundus Images
%J International Conference on Electronic Design and Signal Processing
%@ 0975-8887
%V ICEDSP
%N 1
%P 7-11
%D 2013
%I International Journal of Computer Applications
Abstract

Fundus image analysis is playing an important role in the early detection of retinal eye diseases like diabetic retinopathy, glaucoma etc. Automated detection of hypertensive retinopathy (HR) is a recent development in this field. Segmentation of blood vessels, measurement of tortuosity, diameter measurement, finding the artery vein ratios (AVR) are few important measures for finding HR using digital fundus images. We propose a support system to assist the ophthalmologist in detecting HR in early stages. Segmentation of blood vessels is done using Radon transform, optic disk is detected by Hough transform and then the AVR is calculated. The proposed support system will help the ophthalmologist in the early detection of HR.

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Index Terms

Computer Science
Information Sciences

Keywords

Fundus Images Hypertensive Retinopathy Arteriovenous Ratio