Publication detail

Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields

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"
}