|
Twitter
|
Facebook
|
Google+
|
VKontakte
|
LinkedIn
|
Viadeo
|
English
|
Français
|
Español
|
العربية
|
 
International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Friday 21 February 2020

About IJIAS

News

Submission

Downloads

Archives

Custom Search

Contact

Connect with IJIAS

  Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Detection of Exudates for the diagnosis of Diabetic Retinopathy


Volume 3, Issue 1, May 2013, Pages 116–120

 Detection of Exudates for the diagnosis of Diabetic Retinopathy

Anitha Somasundaram1 and Janardhana Prabhu2

1 Regional Centre, Anna University, Madurai, Tamilnadu, India
2 Department of Electronics and Communication Engineering, Regional Centre, Anna University, Madurai, Tamilnadu, India

Original language: English

Received 11 March 2013

Copyright © 2013 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Diabetes is a group of metabolic diseases in which a person has high blood sugar. Diabetic Retinopathy (DR) is caused by the abnormalities in the retina due to insufficient insulin in the body. Diabetic Retinopathy affects 80% of all patients who had diabetes for 10 years or more, which can also lead to vision loss. The most primitive sign of Diabetic Retinopathy is Exudates. Exudates in the retina are opacities that result from the escape of plasma and white blood cells from defective blood vessels. Detecting the exudates in an earlier stage can prevent the vision loss. In this paper, an automated algorithm has demonstrated to detect and localize the presence of exudates from low-contrast digital images of retinopathy patients with non-dilated pupils. In this method, first the retinal fundus image is pre-processed. Then, Mask Technique and Score Computation technique is used for segmenting the exudates in the retinal fundus images. This method does not require supervised learning which requires labeled set, may cause human error and it is time consuming process. It can effectively identify the lesions because exudates were clearly distinguished from optic disc and blood vessels. It helps the ophthalmologists apply proper treatments that might eliminate the disease or decrease the severity of it.

Author Keywords: Diabetic Retinopathy, Exudates, Kirsch Edge detector, Mask Technique, Optic Disc, Score Computation.


How to Cite this Article


Anitha Somasundaram and Janardhana Prabhu, “Detection of Exudates for the diagnosis of Diabetic Retinopathy,” International Journal of Innovation and Applied Studies, vol. 3, no. 1, pp. 116–120, May 2013.