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KOLÁŘ, R. ODSTRČILÍK, J. MACKOVÁ, P. LAEMMER, R.
Originální název
Registration of the long-term autofluorescence retinal images taken from glaucomatic patients
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
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.
Klíčová slova
image registration, retina, image processing, autofluorescence
Autoři
KOLÁŘ, R.; ODSTRČILÍK, J.; MACKOVÁ, P.; LAEMMER, R.
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", booktitle="Computational Vision and Medical Image Processing", year="2013", pages="115--119", publisher="Taylor & Francis", address="London", isbn="978-1-138-00081-0" }