Automatic glaucoma detection using adaptive threshold based technique in fundus image

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU116080" target="_blank" >RIV/00216305:26220/15:PU116080 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/TSP.2015.7296295" target="_blank" >http://dx.doi.org/10.1109/TSP.2015.7296295</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2015.7296295" target="_blank" >10.1109/TSP.2015.7296295</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic glaucoma detection using adaptive threshold based technique in fundus image

Popis výsledku v původním jazyce

Glaucoma is a kind of ocular disorder that results in a damaged optic nerve which is responsible for transmitting images to the brain. The conventional methods to detect glaucoma like Optical Coherence Tomography (OCT) and Heidelberg Retinal Tomography (HRT) are expensive and need specialized manpower. A digital fundus image can be used to identify glaucoma. This paper describes an efficient method to analyze a computer-aided fundus image which can act as a diagnostic tool for detection of glaucoma. A technique based on histogram of the image is used to study some statistical features of the image such as mean and standard deviation. A relationship between them is established to find a threshold value for segmenting optic disc and optic cup. An adaptive threshold based method which is independent of image quality and invariant to noise is used to segment the optic disc, optic cup and the cup-to-disc ratio CDR which is used to screen glaucoma. The experimental results obtained are compa

Název v anglickém jazyce

Automatic glaucoma detection using adaptive threshold based technique in fundus image

Popis výsledku anglicky

Glaucoma is a kind of ocular disorder that results in a damaged optic nerve which is responsible for transmitting images to the brain. The conventional methods to detect glaucoma like Optical Coherence Tomography (OCT) and Heidelberg Retinal Tomography (HRT) are expensive and need specialized manpower. A digital fundus image can be used to identify glaucoma. This paper describes an efficient method to analyze a computer-aided fundus image which can act as a diagnostic tool for detection of glaucoma. A technique based on histogram of the image is used to study some statistical features of the image such as mean and standard deviation. A relationship between them is established to find a threshold value for segmenting optic disc and optic cup. An adaptive threshold based method which is independent of image quality and invariant to noise is used to segment the optic disc, optic cup and the cup-to-disc ratio CDR which is used to screen glaucoma. The experimental results obtained are compa

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

38th International Conference on Telecommunications and Signal Processing (TSP)

ISBN

978-1-4799-8498-5

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

416-420

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Prague

Datum konání akce

9. 7. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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