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A Threshold based Algorithm to Detect Peripapillary Atrophy for Glaucoma Diagnosis

by Jahin Majumdar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 12
Year of Publication: 2015
Authors: Jahin Majumdar
10.5120/ijca2015906230

Jahin Majumdar . A Threshold based Algorithm to Detect Peripapillary Atrophy for Glaucoma Diagnosis. International Journal of Computer Applications. 126, 12 ( September 2015), 1-5. DOI=10.5120/ijca2015906230

@article{ 10.5120/ijca2015906230,
author = { Jahin Majumdar },
title = { A Threshold based Algorithm to Detect Peripapillary Atrophy for Glaucoma Diagnosis },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 12 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number12/22601-2015906230/ },
doi = { 10.5120/ijca2015906230 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:17:14.296358+05:30
%A Jahin Majumdar
%T A Threshold based Algorithm to Detect Peripapillary Atrophy for Glaucoma Diagnosis
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 12
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The presence of a Peripapillary Atrophy (PPA) is one of the conditions for Glaucoma to develop. This paper is divided into three parts. The first part of this paper describes the terminology related to the diagnosis of glaucoma. The second part of this paper describes various existing algorithms to detect and segment human PPA from a digital fundus retinal image. The paper compares the performances and contrasts the various shortcomings of these described algorithms. The third part of this paper proposes a threshold-based algorithm to detect the PPA of a human eye to aid the diagnosis of Glaucoma. The proposed algorithm calculates the Red by Green ratio for each pixel in the Region of Interest (ROI) and segments the Optic Disc (OD) from the PPA, having different pixel ratios. The algorithm can be further improved by applying sub-algorithms of false region elimination. The proposed algorithm should, theoretically, overcome most of the problems faced by the described algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Glaucoma diagnosis Peripapillary Atrophy Optic Disc Optic Cup.

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