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Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F13%3A00060612" target="_blank" >RIV/00159816:_____/13:00060612 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26220/13:PU102902

  • Result on the web

    <a href="http://dx.doi.org/10.1049/iet-ipr.2012.0455" target="_blank" >http://dx.doi.org/10.1049/iet-ipr.2012.0455</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1049/iet-ipr.2012.0455" target="_blank" >10.1049/iet-ipr.2012.0455</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database

  • Original language description

    Automatic assessment of retinal vessels plays an important role in the diagnosis of various eye, as well as systemic diseases. A public screening is highly desirable for prompt and effective treatment, since such diseases need to be diagnosed at an earlystage. Automated and accurate segmentation of the retinal blood vessel tree is one of the challenging tasks in the computer-aided analysis of fundus images today. We improve the concept of matched filtering, and propose a novel and accurate method for segmenting retinal vessels. Our goal is to be able to segment blood vessels with varying vessel diameters in high-resolution colour fundus images. All recent authors compare their vessel segmentation results to each other using only low-resolution retinalimage databases. Consequently, we provide a new publicly available high-resolution fundus image database of healthy and pathological retinas. Our performance evaluation shows that the proposed blood vessel segmentation approach is at lea

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

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)

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IET Image processing

  • ISSN

    1751-9659

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    373-383

  • UT code for WoS article

    000321751400010

  • EID of the result in the Scopus database