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Reseach Article

Segmentation and Enhancement of Retinal Images using Morphological Operations

Published on May 2014 by R. Anjali, R. Krishnan, T. Jenitha Vincy
International Conference on Simulations in Computing Nexus
Foundation of Computer Science USA
ICSCN - Number 3
May 2014
Authors: R. Anjali, R. Krishnan, T. Jenitha Vincy
377b6016-dff6-46f0-b75b-63f7f2c81e7b

R. Anjali, R. Krishnan, T. Jenitha Vincy . Segmentation and Enhancement of Retinal Images using Morphological Operations. International Conference on Simulations in Computing Nexus. ICSCN, 3 (May 2014), 1-4.

@article{
author = { R. Anjali, R. Krishnan, T. Jenitha Vincy },
title = { Segmentation and Enhancement of Retinal Images using Morphological Operations },
journal = { International Conference on Simulations in Computing Nexus },
issue_date = { May 2014 },
volume = { ICSCN },
number = { 3 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/icscn/number3/16157-1026/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Simulations in Computing Nexus
%A R. Anjali
%A R. Krishnan
%A T. Jenitha Vincy
%T Segmentation and Enhancement of Retinal Images using Morphological Operations
%J International Conference on Simulations in Computing Nexus
%@ 0975-8887
%V ICSCN
%N 3
%P 1-4
%D 2014
%I International Journal of Computer Applications
Abstract

Different types of techniques are used to detect and segment the retinal diseases. Each technique gives a level of accuracy. Morphological methods have been extensively used in handling medical images. The goal of morphological operations is to remove imperfections by considering the structure of the image. This paper proposes an automated method to detect, (1) lesions in Diabetic retinopathy (2) pigment epithelial detachment in Wet age- related- macular-degeneration (3) soft drusen in Dry age- related- macular- degeneration and (4) haemorrhages in Central retinal vein and artery occlusion. A three-stage approach is developed to detect and enhance these retinal images. After pre-processing stage involving enhancement, otsu's method is applied to segment lesions, drusens and other affected parts. The third stage is to detect the concentrated and scattered patches using morphological operations.

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Index Terms

Computer Science
Information Sciences

Keywords

Segmentation Enhancement