Publication detail

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

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

Original Title

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

Czech Title

Registrace autofluorescenčních obrazů sítnice glaukomatiků z dlouhodobých časových sekvencí

English Title

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

Type

conference paper

Language

en

Original Abstract

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.

Czech abstract

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

English abstract

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.

Keywords

image registration, retina, image processing, autofluorescence

RIV year

2013

Released

13.10.2013

Publisher

Taylor & Francis

Location

London

ISBN

978-1-138-00081-0

Book

Computational Vision and Medical Image Processing

Pages from

115

Pages to

119

Pages count

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"
}