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Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields
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SYSNO ASEP 0332121 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields Title Texturní analýza retinálních nervových vláken v obraze fundu pomocí markovských náhodných polí Author(s) Kolář, R. (CZ)
Vácha, Pavel (UTIA-B) RIDSource Title World Congress on Medical Physics and Biomedical Engineering. - Heidelberg : Springer, 2009 / Dössel O. ; Schlegel W. C. - ISBN 978-3-642-03890-7 Pages s. 247-250 Number of pages 4 s. Publication form www - www Action World Congress on Medical Physics and Biomedical Engineering Event date 07.11.2009-12.11.2009 VEvent location Munich Country DE - Germany Event type WRD Language eng - English Country DE - Germany Keywords glaucoma ; texture analysis ; fundus image Subject RIV BD - Theory of Information R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
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