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Diagnose Glaucoma by proposed Image processing Methods

by Dnyaneshwari D.patil, Ramesh Manza, Gangadevi C.bedke
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 8
Year of Publication: 2014
Authors: Dnyaneshwari D.patil, Ramesh Manza, Gangadevi C.bedke
10.5120/18539-9757

Dnyaneshwari D.patil, Ramesh Manza, Gangadevi C.bedke . Diagnose Glaucoma by proposed Image processing Methods. International Journal of Computer Applications. 106, 8 ( November 2014), 14-17. DOI=10.5120/18539-9757

@article{ 10.5120/18539-9757,
author = { Dnyaneshwari D.patil, Ramesh Manza, Gangadevi C.bedke },
title = { Diagnose Glaucoma by proposed Image processing Methods },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 8 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number8/18539-9757/ },
doi = { 10.5120/18539-9757 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:50.976225+05:30
%A Dnyaneshwari D.patil
%A Ramesh Manza
%A Gangadevi C.bedke
%T Diagnose Glaucoma by proposed Image processing Methods
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 8
%P 14-17
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Glaucoma is one of the leading cause of blindness worldwide. It is due to the increase in intra ocular pressure within the eyes. The detection and diagnosis of glaucoma is very important. There are manual and automatic detection methods available. In this paper a survey is conducted on different glaucoma detection methods such as Scanning Laser Polarimetry, optical coherence tomography, including- image processing in Enhancement, Registration, Fusion, Segmentation, Feature extraction, Pattern matching, Classification, Morphology, Statistical measurements and Analysis etc

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Index Terms

Computer Science
Information Sciences

Keywords

Glaucoma Cup to disc ratio Segmentation Neural network for classification

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