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Reseach Article

Automatic Diabetic Retinopathy using Morphological Operations

Published on June 2015 by Jaykumar S. Lachure, A.v. Deorankar, Sagar Lachure
National Conference on Recent Trends in Computer Science and Engineering
Foundation of Computer Science USA
MEDHA2015 - Number 1
June 2015
Authors: Jaykumar S. Lachure, A.v. Deorankar, Sagar Lachure
1250bce5-c7ef-4c12-8e57-cb46fc4e9e11

Jaykumar S. Lachure, A.v. Deorankar, Sagar Lachure . Automatic Diabetic Retinopathy using Morphological Operations. National Conference on Recent Trends in Computer Science and Engineering. MEDHA2015, 1 (June 2015), 29-24.

@article{
author = { Jaykumar S. Lachure, A.v. Deorankar, Sagar Lachure },
title = { Automatic Diabetic Retinopathy using Morphological Operations },
journal = { National Conference on Recent Trends in Computer Science and Engineering },
issue_date = { June 2015 },
volume = { MEDHA2015 },
number = { 1 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 29-24 },
numpages = -4,
url = { /proceedings/medha2015/number1/21428-8013/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Science and Engineering
%A Jaykumar S. Lachure
%A A.v. Deorankar
%A Sagar Lachure
%T Automatic Diabetic Retinopathy using Morphological Operations
%J National Conference on Recent Trends in Computer Science and Engineering
%@ 0975-8887
%V MEDHA2015
%N 1
%P 29-24
%D 2015
%I International Journal of Computer Applications
Abstract

Diabetic Retinopathy (DR )is a main cause for blindness, detecting it as early by exudates that form in the retina. The old method followed by opthalmogists is the regular supervision of the retina. By way of this method takes time and energy of the opthalmogists, classification is done on the basis of new features for the detection of exudates in color fundus image is proposed in this paper. This method reduces work to examine on every fundus image rather than only on abnormal image. The exudates are extracted from the fundus image by applying thresholding and removal of optic disk and region of interest using morphological operation like closing, dilation, erosion. The features are extracted from processed image and used for classifying into exudates and non-exudates.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Exudates Fundus Image Closing Dilation Morphological Operations