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Publication detail
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" }