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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

  • Czech description

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

  • e-ISSN

  • 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