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Glaucoma Detection by Segmenting the Super Pixels from Fundus Colour 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%3APU111155" target="_blank" >RIV/00216305:26220/14:PU111155 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7005981" target="_blank" >https://ieeexplore.ieee.org/document/7005981</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MedCom.2014.7005981" target="_blank" >10.1109/MedCom.2014.7005981</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Glaucoma Detection by Segmenting the Super Pixels from Fundus Colour Retinal Images

  • Original language description

    Glaucoma is an eye disorder which is caused due to irreversible, progressive damage of optic nerve that leads to loss of vision. Often in early stage, people are not able to realize that they are affected by glaucoma because there will no symptom like pain or sudden loss of vision. Glaucoma is a non-curable disease and hence early detection of glaucoma is very essential. This paper proposes an automated image processing approach for detection of glaucoma which may be a diagnostic tool to help ophthalmologist in mass screening of glaucoma suspects. The proposed approach is based on the segmentation of optic disk and the optic cup and computing the cup-to-disc ratio. For segmentation of optic cup and optic disk, a double threshold method is used, one for removing blood vessels and background and second threshold for segmenting the super intensity pixels contained by the optic disk and optic cup. Further, Hough Transform is used to calculate the radius of optic disk and optic cup. The vertical cup to disk ratio is used as a parameter for identification of glaucoma symptoms in the fundus image. The results of the proposed method indicate that the approach is effective in glaucoma detection with better accuracy over existing methods.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical 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

    MEDCOM 2014 CD-ROM

  • ISBN

    978-1-4799-5096-6

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    86-90

  • Publisher name

    Neuveden

  • Place of publication

    Greater Noida

  • Event location

    Greater Noida

  • Event date

    Nov 7, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000375057800018