About: Texture Analysis Of Nerve Fibre Layer In Retinal Images Via Local Binary Patterns And Gaussian Markov Random Fields     Goto   Sponge   NotDistinct   Permalink

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  • The proposed contribution deals with the texture analysis of colour retinal images provided by digital fundus camera. The main purpose is focused on the analysis of texture representing retinal nerve fibre layer. An early detection of changes in the texture caused by nerve fibres atrophy is important in diagnosis of glaucoma. The proposed texture analysis is based on local binary patterns and Gaussian Markov random fields approaches providing textural features allowing quantitative representation of retinal nerve fibre layer texture. The features are presented and supervised classification experiments are performed with satisfactory results. The cross-validation procedures were implemented in order to evaluate classification ability. The classification error reaches less than 3% allowing discrimination between healthy and glaucomatous tissue of the retinal nerve fibre layer. An experiment providing detection of the retinal nerve fibre layer loss in diagnostically important region around the optic nerv
  • The proposed contribution deals with the texture analysis of colour retinal images provided by digital fundus camera. The main purpose is focused on the analysis of texture representing retinal nerve fibre layer. An early detection of changes in the texture caused by nerve fibres atrophy is important in diagnosis of glaucoma. The proposed texture analysis is based on local binary patterns and Gaussian Markov random fields approaches providing textural features allowing quantitative representation of retinal nerve fibre layer texture. The features are presented and supervised classification experiments are performed with satisfactory results. The cross-validation procedures were implemented in order to evaluate classification ability. The classification error reaches less than 3% allowing discrimination between healthy and glaucomatous tissue of the retinal nerve fibre layer. An experiment providing detection of the retinal nerve fibre layer loss in diagnostically important region around the optic nerv (en)
Title
  • Texture Analysis Of Nerve Fibre Layer In Retinal Images Via Local Binary Patterns And Gaussian Markov Random Fields
  • Texture Analysis Of Nerve Fibre Layer In Retinal Images Via Local Binary Patterns And Gaussian Markov Random Fields (en)
skos:prefLabel
  • Texture Analysis Of Nerve Fibre Layer In Retinal Images Via Local Binary Patterns And Gaussian Markov Random Fields
  • Texture Analysis Of Nerve Fibre Layer In Retinal Images Via Local Binary Patterns And Gaussian Markov Random Fields (en)
skos:notation
  • RIV/00216305:26220/10:PU87920!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
  • 292584
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/10:PU87920
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • glaucoma, retinal nerve fibre layer, markov random fields, local binnary patterns, fundus photographs, retinal images, texture analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F8F04419DCD1]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • 20th Biennial International EURASIP Conference BIOSIGNAL 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
  • Jan, Jiří
  • Kolář, Radim
  • Odstrčilík, Jan
  • Novotný, Adam
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • EURASIP
https://schema.org/isbn
  • 978-80-214-4106-4
http://localhost/t...ganizacniJednotka
  • 26220
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