By Topic

Detection of changes in color fundus images due to diabetic retinopathy

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Malaya Kumar Nath ; Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati ; Samarendra Dandapat

Condition of the retina can be known from the color fundus image. Appearance and location of different features such as exudates, hemorrhages and drusen in color fundus image are used for the assessment of diabetic retinopathy (DR). DR affects the structure of blood vessels and optic disc (OD). In this paper we propose a novel method for detecting the changes appeared in the color fundus image due to the progression of diabetics by using independent component analysis (ICA) on wavelet subbands. Wavelet subband decomposition helps highlighting different information such as blood vessels, optic disc, exudates, hemorrhages, macula and drusen in different subband. ICA is applied on the wavelet subbands to find the different changes. This method is tested on 50 number of color fundus images. The changes appeared in the fundus image are detected correctly.

Published in:

Computational Intelligence and Signal Processing (CISP), 2012 2nd National Conference on

Date of Conference:

2-3 March 2012