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Reseach Article

Automatic Optic Nerve Head Segmentation for Glaucomatous Detection Using Hough Transform and Pyramidal Decomposition

Published on April 2012 by M. Caroline Viola Stella Mary, B. Jainudhin Sudar Marri
International Conference in Recent trends in Computational Methods, Communication and Controls
Foundation of Computer Science USA
ICON3C - Number 1
April 2012
Authors: M. Caroline Viola Stella Mary, B. Jainudhin Sudar Marri
2199a25a-3fb2-4961-a9a7-778cc9bf6766

M. Caroline Viola Stella Mary, B. Jainudhin Sudar Marri . Automatic Optic Nerve Head Segmentation for Glaucomatous Detection Using Hough Transform and Pyramidal Decomposition. International Conference in Recent trends in Computational Methods, Communication and Controls. ICON3C, 1 (April 2012), 33-37.

@article{
author = { M. Caroline Viola Stella Mary, B. Jainudhin Sudar Marri },
title = { Automatic Optic Nerve Head Segmentation for Glaucomatous Detection Using Hough Transform and Pyramidal Decomposition },
journal = { International Conference in Recent trends in Computational Methods, Communication and Controls },
issue_date = { April 2012 },
volume = { ICON3C },
number = { 1 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 33-37 },
numpages = 5,
url = { /proceedings/icon3c/number1/6006-1007/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Recent trends in Computational Methods, Communication and Controls
%A M. Caroline Viola Stella Mary
%A B. Jainudhin Sudar Marri
%T Automatic Optic Nerve Head Segmentation for Glaucomatous Detection Using Hough Transform and Pyramidal Decomposition
%J International Conference in Recent trends in Computational Methods, Communication and Controls
%@ 0975-8887
%V ICON3C
%N 1
%P 33-37
%D 2012
%I International Journal of Computer Applications
Abstract

The rapid development of digital imaging & computer vision has made an increase in potential to use the image processing technologies in ophthalmology. Image processing systems has become now a standard clinical practice with the development of medical diagnostic systems. The retinal images provide vital information about the health of the sensory part of the visual system. Retinal diseases like Glaucoma, Diabetic retinopathy, Age-related macular degeneration, Stargart's disease, retinopathy of prematurity that can lead to blindness manifest as artifacts in the retinal image. The retinal images usually suffer from non-uniform illumination. For a reliable diagnosis of the disease we need a good quality image. We are using two approaches for localization 1) Hough Space, 2) dividing the region into n x n regions. For the segmentation of the ONH we are using Pyramidal decomposition method.

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Index Terms

Computer Science
Information Sciences

Keywords

Glaucoma Age-related Macular Degeneration Stargart's Disease Diabetic Retinopathy Fundus Image