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

  • R. Kolář
  • P. Vácha
Part of the IFMBE Proceedings book series (IFMBE, volume 25/11)

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 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • R. Kolář
    • 1
  • P. Vácha
    • 2
  1. 1.Department of Biomedical EngineeringBrno University of TechnologyBrnoCzech Republic
  2. 2.Institute of Information Theory and Automation of the ASCRPragueCzech Republic

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