Detail publikačního výsledku

Detection of optic disc in retinal fundus image

NOHEL, M.; KOLÁŘ, R.

Originální název

Detection of optic disc in retinal fundus image

Anglický název

Detection of optic disc in retinal fundus image

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper presents a comparison of several image processing methods for optic disc detection in retinal images. The detection algorithms are tested on five publicly available retinal databases (total 2140 images). Thresholding, Hough transform, and matched filtering followed by postprocessing were tested for optic disc detection. It has been shown that matched filtering followed by peak detection achieves the best success rate (98.8 %).

Anglický abstrakt

This paper presents a comparison of several image processing methods for optic disc detection in retinal images. The detection algorithms are tested on five publicly available retinal databases (total 2140 images). Thresholding, Hough transform, and matched filtering followed by postprocessing were tested for optic disc detection. It has been shown that matched filtering followed by peak detection achieves the best success rate (98.8 %).

Klíčová slova

optic disc, detection, thresholding, Hough transform, matched filter

Klíčová slova v angličtině

optic disc, detection, thresholding, Hough transform, matched filter

Autoři

NOHEL, M.; KOLÁŘ, R.

Rok RIV

2023

Vydáno

26.04.2022

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6029-4

Kniha

Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers

Edice

1

Strany od

239

Strany do

242

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1.pdf

BibTex

@inproceedings{BUT178079,
  author="Michal {Nohel} and Radim {Kolář}",
  title="Detection of optic disc in retinal fundus image",
  booktitle="Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers",
  year="2022",
  series="1",
  pages="239--242",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6029-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1.pdf"
}