Texture Analysis Of Nerve Fibre Layer In Retinal Images Via Local Binary Patterns And Gaussian Markov Random Fields

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU87920" target="_blank" >RIV/00216305:26220/10:PU87920 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Texture Analysis Of Nerve Fibre Layer In Retinal Images Via Local Binary Patterns And Gaussian Markov Random Fields

Popis výsledku v původním jazyce

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 classificationerror 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 aroun

Název v anglickém jazyce

Texture Analysis Of Nerve Fibre Layer In Retinal Images Via Local Binary Patterns And Gaussian Markov Random Fields

Popis výsledku anglicky

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 classificationerror 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 aroun

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

<a href="/cs/project/1M0572" target="_blank" >1M0572: Data, algoritmy, rozhodování</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

20th Biennial International EURASIP Conference BIOSIGNAL 2010

ISBN

978-80-214-4106-4

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

—

Název nakladatele

EURASIP

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

27. 6. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—