Extraction of retinal vasculature by using morphology in fundus images

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Extraction of retinal vasculature by using morphology in fundus images
Original language description
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.
Czech name
—
Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)
ISBN
978-1-4799-5991-4
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
139-142
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Dept. of ECE, ASET, Amity University, Sector-125
Event date
Feb 19, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000382970300028

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