About: Retinal Nerve Fiber Layer Analysis via Markov Random Fields Texture Modelling     Goto   Sponge   NotDistinct   Permalink

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Description
  • The texture analysis of the retinal nerve fiber layer (RNFL) in colour fundus images is a promising tool for early glau-coma diagnosis. This paper describes model-based method for detection of changes in the RNFL. The method utilizes Gaussian Markov random fields (GMRF) and the least-square error (LSE) estimate for the local RNFL texture modelling. The model parameters are used as a texture fea-tures and non-linear classifier based on the Bayesian rule is used for classification of healthy and glaucomatous RNFL tissue. The proposed features are tested in the sense of clas-sification errors and also they are applied for segmentation of RNFL defects in high-resolution colour fundus-camera images. The results are also compared with the Optical Co-herence Tomography images regarded as a gold standard for our application due to the possibility of RNFL thickness measurement.
  • The texture analysis of the retinal nerve fiber layer (RNFL) in colour fundus images is a promising tool for early glau-coma diagnosis. This paper describes model-based method for detection of changes in the RNFL. The method utilizes Gaussian Markov random fields (GMRF) and the least-square error (LSE) estimate for the local RNFL texture modelling. The model parameters are used as a texture fea-tures and non-linear classifier based on the Bayesian rule is used for classification of healthy and glaucomatous RNFL tissue. The proposed features are tested in the sense of clas-sification errors and also they are applied for segmentation of RNFL defects in high-resolution colour fundus-camera images. The results are also compared with the Optical Co-herence Tomography images regarded as a gold standard for our application due to the possibility of RNFL thickness measurement. (en)
Title
  • Retinal Nerve Fiber Layer Analysis via Markov Random Fields Texture Modelling
  • Retinal Nerve Fiber Layer Analysis via Markov Random Fields Texture Modelling (en)
skos:prefLabel
  • Retinal Nerve Fiber Layer Analysis via Markov Random Fields Texture Modelling
  • Retinal Nerve Fiber Layer Analysis via Markov Random Fields Texture Modelling (en)
skos:notation
  • RIV/00216305:26220/10:PU86943!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 285103
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/10:PU86943
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • glaucoma, retinal nerve fiber layer, retinal vessels segmentation, texture analysis, pattern recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1952FC1A1182]
http://linked.open...v/mistoKonaniAkce
  • Aalborg
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • 18th European Signal Processing Conference (EUSIPCO-2010)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Gazárek, Jiří
  • Jan, Jiří
  • Kolář, Radim
  • Odstrčilík, Jan
  • Harabiš, Vratislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 2076-1465
number of pages
http://purl.org/ne...btex#hasPublisher
  • EURASIP
http://localhost/t...ganizacniJednotka
  • 26220
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