alexa Detection of Abnormal Features in Digital Fundus Image Using Morphological Approach for Classification of Diabetic Retinopathy
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Detection of Abnormal Features in Digital Fundus Image Using Morphological Approach for Classification of Diabetic Retinopathy

Aniruddha L. Pal1, Dr.Srikanth Prabhu2 and Dr.Niranjana Sampathila3
  1. PG Scholar, Department of Biomedical Engineering, MIT, Manipal University (MU), Manipal, India
  2. Associate Professor, Department of CSE, MIT, MU, Manipal, India
  3. Associate Professor-Senior Scale, Department of Biomedical Engineering, MIT, MU, Manipal, India
Related article at Pubmed, Scholar Google
 

Abstract

Over the past few years diabetic retinopathy has proved to be a leading cause of blindness in adult population. WHO studies in 2002 showed that the diabetic retinopathy accounts for nearly 5% of the 37 million visually challenged people worldwide. The number of diabetic retinopathy patients around the globe is expected to increase from 127 million in 2010 to 191 million in 2030. An innovative and effective mass screening system needs to be developed for meeting the ever increasing number of patients with the limited number of ophthalmologists. The digital fundus image of retina is being effectively used for the diagnosis of diabetic retinopathy. Microaneurysms, haemorrhages and exudates are the abnormal features commonly observed in the retinal image of a person affected by diabetic retinopathy. In this paper a method using mathematical morphological operations and edge detection to detect these lesions is discussed. The detected features are used to classify the different stages of diabetic retinopathy. The method discussed is fast and robust (applicable on low quality images) and hence suitable for mass screening of patients.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords