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KOLÁŘ, R. VÁCHA, P.
Original Title
Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields
Type
conference proceedings
Language
English
Original Abstract
This paper describes method for analysis of the texture created by retinal nerve fibers (RNF) via Markov Random Fields. The Causal Autoregressive Random (CAR) model is used to create a feature vector describing the changes in texture due to losses in RNF layer. It is shown that features based on CAR model can be used for discrimination between healthy and glaucomatous tissue using simple linear classifier. The classification error is slightly below 4% for the tested dataset.
Keywords
glaucoma, texture analysis, fundus image
Authors
KOLÁŘ, R.; VÁCHA, P.
Released
7. 9. 2009
Publisher
Springer
ISBN
978-3-642-03881-5
Book
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
Edition number
25/IV
Pages from
247
Pages to
250
Pages count
4
BibTex
@proceedings{BUT65675, editor="Radim {Kolář} and Pavel {Vácha}", title="Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields", year="2009", number="25/IV", pages="247--250", publisher="Springer", isbn="978-3-642-03881-5" }