NDLI: An image processing technique to detecting retina layers

Content Provider	IEEE Xplore Digital Library
Author	Pouyan, A.A. Naseri, A. Kavian, N.
Copyright Year	2010
Description	Author affiliation: Vitreoretinal Surgeon, Dr.khodadust Hospital, Shiraz, Iran (Kavian, N.) \|\| Department of Computer & Information Technology, Shahrood University of Technology, Iran (Pouyan, A.A.; Naseri, A.)
Abstract	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.
Starting Page	7
Ending Page	10
File Size	263397
Page Count	4
File Format	PDF
ISBN	9781424485956
e-ISBN	9781424485949
DOI	10.1109/ICSIP.2010.5697432
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical filters Image segmentation Biomedical optical imaging Texture analysis Optical coherence tomography Coherence Tomography Co-occurrence matrix Retina Optical imaging Multilayer perceptron Adaptive optics
Content Type	Text
Resource Type	Article

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