Fast localization of the optic disc in fundus images using region-based segmentation

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Fast localization of the optic disc in fundus images using region-based segmentation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Fast localization of the optic disc in fundus images using region-based segmentation

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN)

ISBN

978-1-4673-9198-6

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

535-538

Název nakladatele

Neuveden

Místo vydání

neuveden

Místo konání akce

Dept. of ECE, ASET, Amity University, Sector-125

Datum konání akce

19. 2. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000389587900102