By Topic

An image processing technique to detecting retina layers

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

3 Author(s)
Ali A. Pouyan ; Department of Computer & Information Technology, Shahrood University of Technology, Iran ; Amineh. Naseri ; Nader. Kavian

In this paper, a computer approach is proposed for recognition of retina layers on optical coherence tomography (OCT) images. OCT uses the optical backscattering of light to scan the eye and describe a pixel representation of the anatomic layers within the retina. Our approach is based on co-occurrence matrix for feature extraction and a neural network for classifying, which four features of this matrix have been selected as a feature vector and multilayer perceptron (MLP) has been used for classifying retina layers. Achieved result of combined these two methods in the best state was 96.6% precision. This result shows that apply these methods on OCT images discriminate retina layers with efficient accuracy. Since, recognition of retina layers is important for automatic analysing of OCT images, therefore our proposed methods can be very useful.

Published in:

Signal and Image Processing (ICSIP), 2010 International Conference on

Date of Conference:

15-17 Dec. 2010