Optical nerve disc segmentation using circual integro differencial operator

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F16%3AE0106010" target="_blank" >RIV/00843989:_____/16:E0106010 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/16:86099581

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-24584-3_32" target="_blank" >http://dx.doi.org/10.1007/978-3-319-24584-3_32</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-24584-3_32" target="_blank" >10.1007/978-3-319-24584-3_32</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optical nerve disc segmentation using circual integro differencial operator

Popis výsledku v původním jazyce

The paper deals with design of suitable methodology for the detection of the optic nerve disc from ophthalmological images. This issue was frequently solved in the past based on the Hough transform. The problem is that some the clinical images lack of sufficient contrast and so it is difficult to identify individual objects in the images. In our analysis, we process the image data, which are poorly distinguishable. Another significant drawback is the lower resolution of the analyzed data, which leads to poor identification of the optic nerve disc. For the detection of the optic nerve disc is used integro differential operator, which is looking for objects in the image that have a circular shape. The advantage of this proposed solution is sufficient sensitivity even in the weaker contrast environment. © Springer International Publishing Switzerland 2016

Název v anglickém jazyce

Optical nerve disc segmentation using circual integro differencial operator

Popis výsledku anglicky

The paper deals with design of suitable methodology for the detection of the optic nerve disc from ophthalmological images. This issue was frequently solved in the past based on the Hough transform. The problem is that some the clinical images lack of sufficient contrast and so it is difficult to identify individual objects in the images. In our analysis, we process the image data, which are poorly distinguishable. Another significant drawback is the lower resolution of the analyzed data, which leads to poor identification of the optic nerve disc. For the detection of the optic nerve disc is used integro differential operator, which is looking for objects in the image that have a circular shape. The advantage of this proposed solution is sufficient sensitivity even in the weaker contrast environment. © Springer International Publishing Switzerland 2016

Druh

D - Stať ve sborníku

CEP obor

BH - Optika, masery a lasery

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advanced computer and communication engineering technology : proceedings of ICOCOE 2015

ISBN

978-3-319-24582-9

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

"P. 387-396"

Název nakladatele

Springer /

Místo vydání

Cham : Springer, 2016

Místo konání akce

Phuket, Thailand

Datum konání akce

9. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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