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An Efficient Automatic Method of Optic Disc Segmentation using Region Growing Technique in Retinal Images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU111471" target="_blank" >RIV/00216305:26220/14:PU111471 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Efficient Automatic Method of Optic Disc Segmentation using Region Growing Technique in Retinal Images

  • Original language description

    Segmentation of Optic disc (OD) from a retinal image is a essential step while developing automated screening systems for eye disease like diabetic retinopathy, Glaucoma etc. This paper proposes a method of automatic optic disk segmentation based on region growing technique with automatic seed selection. In this method centre of optic disk is considered as a seed to apply region growing technique to segment the optic disk from the preprocessed retinal image. Automatic detection of centre of optic disk is done by double windowing method. The algorithm uses image processing techniques like contrast adjustment, morphological operations & filtering to process the retinal image and to remove the blood vessels from the retinal image. The performance of optic disk segmentation by proposed method is compared with Optic disk segmentation by ophthalmologists and results are found convincing and efficient. The experimental results indicate this method of segmentation of the OD has good accuracy and also is computationally cheap.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceeding s of the International Conference on Contemporary Computing and Informatics

  • ISBN

    978-1-4799-6629-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    480-484

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Mysore

  • Event date

    Nov 27, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000380454900133