Publication detail

Elastic Registration for Auto-fluorescence Image Averaging

KUBEČKA, L. JAN, J. KOLÁŘ, R. JIŘÍK, R.

Original Title

Elastic Registration for Auto-fluorescence Image Averaging

English Title

Elastic Registration for Auto-fluorescence Image Averaging

Type

conference paper

Language

en

Original Abstract

The paper describes restitution of geometrical distortions and improvement of signal-to-noise ratio of auto-fluorescence retinal images, finally aimed at segmentation and area estimation of the lipofuscin spots as one of the features to be included in glaucoma diagnosis. The main problems – geometrical and illumination incompatibility of frames in the image sequence and a non-negligible shear distortion in the individual frames – have been solved by the presented registration procedure. The concept and some details of the MI-based regularized registration, together with evaluation of test results form the core of the contribution.

English abstract

The paper describes restitution of geometrical distortions and improvement of signal-to-noise ratio of auto-fluorescence retinal images, finally aimed at segmentation and area estimation of the lipofuscin spots as one of the features to be included in glaucoma diagnosis. The main problems – geometrical and illumination incompatibility of frames in the image sequence and a non-negligible shear distortion in the individual frames – have been solved by the presented registration procedure. The concept and some details of the MI-based regularized registration, together with evaluation of test results form the core of the contribution.

RIV year

2006

Released

01.08.2006

Publisher

IEEE

Location

New York

ISBN

1-4244-0033-3

Book

Proc. 28th IEEE/EMBS Ann.Intern. Conf. 2006

Edition number

1

Pages from

1948

Pages to

1951

Pages count

4

URL

knihovna ÚBMI FEKT VUT

BibTex


@inproceedings{BUT24215,
  author="Libor {Kubečka} and Jiří {Jan} and Radim {Kolář} and Radovan {Jiřík}",
  title="Elastic Registration for Auto-fluorescence Image Averaging",
  annote="The paper describes restitution of geometrical distortions and improvement of signal-to-noise ratio of auto-fluorescence retinal images, finally aimed at segmentation and area estimation of the lipofuscin spots as one of the features to be included in glaucoma diagnosis. The main problems – geometrical and illumination incompatibility of frames in the image sequence and a non-negligible shear distortion in the individual frames – have been solved by the presented registration procedure. The concept and some details of the MI-based regularized registration, together with evaluation of test results form the core of the contribution.",
  address="IEEE",
  booktitle="Proc. 28th IEEE/EMBS Ann.Intern. Conf. 2006",
  chapter="24215",
  institution="IEEE",
  year="2006",
  month="august",
  pages="1948",
  publisher="IEEE",
  type="conference paper"
}