Publication result 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

English Title

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

Type

Paper in proceedings (conference paper)

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.

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

Key words in English

image registration, retina, image processing, autofluorescence

Authors

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

RIV year

2014

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",
  booktitle="Computational Vision and Medical Image Processing",
  year="2013",
  pages="115--119",
  publisher="Taylor & Francis",
  address="London",
  isbn="978-1-138-00081-0"
}