Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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",
  annote="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.",
  address="Springer London",
  booktitle="Biometric Recognition",
  chapter="96979",
  doi="10.1007/978-3-642-35136-5",
  edition="Lecture Notes in Computer Science",
  howpublished="print",
  institution="Springer London",
  number="7701",
  year="2012",
  month="december",
  pages="308--315",
  publisher="Springer London",
  type="conference paper"
}