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An Efficient Imaging Technique for Automated Macula Localization from Fundus Images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120806" target="_blank" >RIV/00216305:26220/16:PU120806 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7765390" target="_blank" >https://ieeexplore.ieee.org/document/7765390</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICUMT.2016.7765390" target="_blank" >10.1109/ICUMT.2016.7765390</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Efficient Imaging Technique for Automated Macula Localization from Fundus Images

  • Original language description

    Localization of macula from fundus image plays an important role to design an automated screening tool for detection of retinal diseases. The similar color and texture of red lesions act as a bottleneck in accurate localization of macula in the fundus image. This paper presents a computer vision algorithm for automated and efficient localization of macula from low contrast and diabetic retinopathy affected fundus images. A statistical based model is used to detect macula in a specified region of fundus image which is designed using the geometric features of optic disc. The performance of the proposed algorithm of macula detection was tested on 200 normal/affected fundus images and results are significant. The computational efficiency and accurate localization of macula makes the proposed method competent enough to be used as a part of an automated screening tool for detection of retinal diseases.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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

    8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops - ICUMT

  • ISBN

    978-1-4673-8817-7

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    387-391

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Lisabon

  • Event date

    Oct 18, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000392263300068