Detail publikace

Registrace autofluorescenčních obrazů sítnice glaukomatiků z dlouhodobých časových sekvencí

KOLÁŘ, R. ODSTRČILÍK, J. MACKOVÁ, P. LAEMMER, R.

Originální název

Registration of the long-term autofluorescence retinal images taken from glaucomatic patients

Český název

Registrace autofluorescenčních obrazů sítnice glaukomatiků z dlouhodobých časových sekvencí

Anglický název

Registration of the long-term autofluorescence retinal images taken from glaucomatic patients

Typ

článek ve sborníku

Jazyk

en

Originální abstrakt

This paper describes a new robust framework for registration of the autofluorescence images. The images were acquired from glaucomatous eyes between 2003 and 2012 by different laser scanning devices operating at wavelength 488 nm. Presented framework uses Fourier phase correlation theorem for robust estimate of the shift and rotation. This is followed by blood-vessels detection and standard intensity optimization framework using these blood-vessels images and correlation criteria. The results were evaluated subjectively and also by entropy correlation coefficient (ECC). We showed that our registration framework is comparable with manually registered images by the means of ECC statistical comparison.

Český abstrakt

Příspěvek se zabývá popisem přístupu k registraci autofluorescenčních snímků sítnice za využití fázové korelace, detekce hran a korelačního kritéria.

Anglický abstrakt

This paper describes a new robust framework for registration of the autofluorescence images. The images were acquired from glaucomatous eyes between 2003 and 2012 by different laser scanning devices operating at wavelength 488 nm. Presented framework uses Fourier phase correlation theorem for robust estimate of the shift and rotation. This is followed by blood-vessels detection and standard intensity optimization framework using these blood-vessels images and correlation criteria. The results were evaluated subjectively and also by entropy correlation coefficient (ECC). We showed that our registration framework is comparable with manually registered images by the means of ECC statistical comparison.

Klíčová slova

registrace obrazů, sítnice, autofluorescence

Rok RIV

2013

Vydáno

13.10.2013

Nakladatel

Taylor & Francis

Místo

London

ISBN

978-1-138-00081-0

Kniha

Computational Vision and Medical Image Processing

Strany od

115

Strany do

119

Strany počet

5

BibTex


@inproceedings{BUT102065,
  author="Radim {Kolář} and Jan {Odstrčilík} and Pavlína {Macková} and Robert {Laemmer}",
  title="Registration of the long-term autofluorescence retinal images taken from glaucomatic patients",
  annote="This paper describes a new robust framework for registration of the autofluorescence images. The images were acquired from glaucomatous eyes between 2003 and 2012 by different laser scanning devices operating at wavelength 488 nm. Presented framework uses Fourier phase correlation theorem for robust estimate of the shift and rotation. This is followed by blood-vessels detection and standard intensity optimization framework using these blood-vessels images and correlation criteria. The results were evaluated subjectively and also by entropy correlation coefficient (ECC). We showed that our registration framework is comparable with manually registered images by the means of ECC statistical comparison.",
  address="Taylor & Francis",
  booktitle="Computational Vision and Medical Image Processing",
  chapter="102065",
  howpublished="print",
  institution="Taylor & Francis",
  year="2013",
  month="october",
  pages="115--119",
  publisher="Taylor & Francis",
  type="conference paper"
}