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Automated Image Processing to Diagnose Exudates from Images of Retina

by Sanjeevani Choudhary, Jyotika Pruthi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 5
Year of Publication: 2015
Authors: Sanjeevani Choudhary, Jyotika Pruthi
10.5120/20150-2286

Sanjeevani Choudhary, Jyotika Pruthi . Automated Image Processing to Diagnose Exudates from Images of Retina. International Journal of Computer Applications. 115, 5 ( April 2015), 41-44. DOI=10.5120/20150-2286

@article{ 10.5120/20150-2286,
author = { Sanjeevani Choudhary, Jyotika Pruthi },
title = { Automated Image Processing to Diagnose Exudates from Images of Retina },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 5 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 41-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number5/20150-2286/ },
doi = { 10.5120/20150-2286 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:58.573983+05:30
%A Sanjeevani Choudhary
%A Jyotika Pruthi
%T Automated Image Processing to Diagnose Exudates from Images of Retina
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 5
%P 41-44
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Diabetic Retinopathy (DR) is a significant reason for blindness. Exudates are one of the essential indications of diabetic retinopathy which is a fundamental driver of visual weakening that could be counteracted with an early screening procedure. In this approach, the procedure and learning of automated image processing to diagnose exudates from image set of retina are implemented. The segmented image along with Optic Disk (OD) is selected. To Classify these segmented area, features considered as color base and texture are removed. The chosen feature vector is then grouped into exudates and non-exudates utilizing a Support Vector Machine (SVM) Classifier. An automated strategy to distinguish and restrict the vicinity of exudates from low-contrast digital images of Retinopathy patient's with non- dilated pupils is proposed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Diabetic Retinopathy Exudate Digital Image Processing Optic Disc Support Vector Machine (SVM) Classifier

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