Publication detail

An algorithm for retina features extraction based on position of the blood vessel bifurcations

DROZD, R. HÁJEK, J. DRAHANSKÝ, M.

Original Title

An algorithm for retina features extraction based on position of the blood vessel bifurcations

Type

conference paper

Language

English

Original Abstract

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.

Keywords

retina, biometrics, fundus camera, blood vessel, matched filtering, digital signal processor, filtering, optic disc, macula, bifurcation point

Authors

DROZD, R.; HÁJEK, J.; DRAHANSKÝ, M.

RIV year

2012

Released

4. 12. 2012

Publisher

Springer London

Location

Guangzhou

ISBN

978-3-642-35135-8

Book

Biometric Recognition

Edition

Lecture Notes in Computer Science

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Number

7701

State

Federal Republic of Germany

Pages from

308

Pages to

315

Pages count

8

URL

BibTex

@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"
}