Detail publikace

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

KOLÁŘ, R. VÁCHA, P.

Originální název

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

Typ

konferenční sborník (ne článek)

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

glaucoma, texture analysis, fundus image

Autoři

KOLÁŘ, R.; VÁCHA, P.

Vydáno

7. 9. 2009

Nakladatel

Springer

ISBN

978-3-642-03881-5

Kniha

World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany

Číslo edice

25/IV

Strany od

247

Strany do

250

Strany počet

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"
}