Publication detail

Detection of optic disc in retinal fundus image

NOHEL, M. KOLÁŘ, R.

Original Title

Detection of optic disc in retinal fundus image

Type

conference paper

Language

English

Original Abstract

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 %).

Keywords

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

Authors

NOHEL, M.; KOLÁŘ, R.

Released

26. 4. 2022

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6029-4

Book

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

Edition

1

Pages from

239

Pages to

242

Pages count

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"
}