Detail publikace

Automated fovea center estimation in adaptive optics images

VALTEROVÁ, E.

Originální název

Automated fovea center estimation in adaptive optics images

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The adaptive optics (AO) is an insightful tool with high potential. Since the first demonstration in ophthalmology has undergone immense growth in its diagnostic application, mainly because the AO enables to capture retina in vivo with resolution on cellular level. In the center of the retina is macula, containing the fovea. The fovea detection is possible with utilizing the knowledge of its characteristical properties. We developed and applied two methods for fovea center estimation. The first method is based on image maximum detection. The second is based on the 2D Gaussian curve fitting. The first method has proved better results in comparison with manual grading. The measured difference was 32 ± 27 pixels. The second approach has in comparison with manual grading slightly higher difference equal to 108 ± 64 pixels. Both of the methods estimated the foveal center within the expected foveal area.

Klíčová slova

retina; adaptive optics; macula; fovea center

Autoři

VALTEROVÁ, E.

Vydáno

23. 4. 2020

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-5868-0

Kniha

Proceedings of the 26th Conference STUDENT EEICT 2020

Strany od

141

Strany do

145

Strany počet

5

URL

https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_2.pdf

BibTex

@inproceedings{BUT163904,
  author="Eva {Orságová}",
  title="Automated fovea center estimation in adaptive optics images",
  booktitle="Proceedings of the 26th Conference STUDENT EEICT 2020",
  year="2020",
  pages="141--145",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5868-0",
  url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_2.pdf"
}