Fast localization of the optic disc in fundus images using region-based segmentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU136259" target="_blank" >RIV/00216305:26220/16:PU136259 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7566752" target="_blank" >https://ieeexplore.ieee.org/document/7566752</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SPIN.2016.7566752" target="_blank" >10.1109/SPIN.2016.7566752</a>
Alternative languages
Result language
angličtina
Original language name
Fast localization of the optic disc in fundus images using region-based segmentation
Original language description
Optic disc (OD) is considered as one of the primary features in retinal fundus images. Detection of the OD is important for the identification and severity assessment of various ophthalmic pathologies. OD localization is the first step towards accurate OD segmentation process. In this paper an adaptive region-based image segmentation method is presented for automated localization of the OD. The proposed method is tested on two publically available datasets of MESSIDOR and DRIVE. For these two datasets, the OD was successfully localized in 90 images out of 100 (90% success) and 38 images out of 40 (95 % success), respectively, with computation time of approximately 1.6 seconds per image. Experimental results indicate that the proposed method is successful in fast and robust OD localization and therefore this method can be useful for real-time automated ophthalmic pathology detection systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN)
ISBN
978-1-4673-9198-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
535-538
Publisher name
Neuveden
Place of publication
neuveden
Event location
Dept. of ECE, ASET, Amity University, Sector-125
Event date
Feb 19, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389587900102