Extraction of retinal vasculature by using morphology in fundus images

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU136261" target="_blank" >RIV/00216305:26220/15:PU136261 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/7095382/" target="_blank" >https://ieeexplore.ieee.org/document/7095382/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SPIN.2015.7095382" target="_blank" >10.1109/SPIN.2015.7095382</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Extraction of retinal vasculature by using morphology in fundus images

Popis výsledku v původním jazyce

In this paper algorithm is proposed for detection of vessels present in a fundus image of an eye. Blood vessels extraction and removal are used to detect the other artifacts like lesions, the fovea and optic nerve. The proposed algorithm used the combination of different morphological operators which make this method less complex and also computationally efficient. Two different channels of an image green and L respectively are utilized to get the final vessel structure. This method also gives the region of interest for macula which may make macula detection easy. The proposed algorithm is tested on DRIVE data set of fundus image of an eye. The result gives good detection of vessel structure and the proposed method is computationally efficient.

Název v anglickém jazyce

Extraction of retinal vasculature by using morphology in fundus images

Popis výsledku anglicky

In this paper algorithm is proposed for detection of vessels present in a fundus image of an eye. Blood vessels extraction and removal are used to detect the other artifacts like lesions, the fovea and optic nerve. The proposed algorithm used the combination of different morphological operators which make this method less complex and also computationally efficient. Two different channels of an image green and L respectively are utilized to get the final vessel structure. This method also gives the region of interest for macula which may make macula detection easy. The proposed algorithm is tested on DRIVE data set of fundus image of an eye. The result gives good detection of vessel structure and the proposed method is computationally efficient.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

—

Návaznosti

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

2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)

ISBN

978-1-4799-5991-4

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

139-142

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Dept. of ECE, ASET, Amity University, Sector-125

Datum konání akce

19. 2. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000382970300028