Publication Details
An algorithm for retina features extraction based on position of the blood vessel bifurcations
Hájek Josef, Ing., Ph.D.
Drahanský Martin, prof. Ing., Ph.D.
retina, biometrics, fundus camera, blood vessel, matched filtering, digital signal processor, filtering, optic disc, macula, bifurcation point
This paper deals with a proposal of the algorithm for features extraction from the blood vessels on the back of eyeball.Automated extraction is based on the bifurcations (points where a single vessel splits into two vessels) in retina.Each particular bifurcation is subsequently specified by its own position given by the coordinate system derived from the mutual position of the optic disc and fovea.The complete algorithm has been developed in C++ language and uses OpenCV library for image processing.This proposed method was evaluated on available images of the STARE and DRIVE databases.
@inproceedings{BUT96979,
author="Radek {Drozd} and Josef {Hájek} and Martin {Drahanský}",
title="An algorithm for retina features extraction based on position of the blood vessel bifurcations",
booktitle="Biometric Recognition",
year="2012",
series="Lecture Notes in Computer Science",
journal="Lecture Notes in Computer Science",
number="7701",
pages="308--315",
publisher="Springer London",
address="Guangzhou",
doi="10.1007/978-3-642-35136-5",
isbn="978-3-642-35135-8",
issn="0302-9743",
url="http://www.fit.vutbr.cz/~ihajek/retina/CCBR2012/978-3-642-35135-8_book_printpdf.pdf"
}