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Improvement of Vessel Segmentation by Matched Filtering in 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%2F09%3APU81701" target="_blank" >RIV/00216305:26220/09:PU81701 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improvement of Vessel Segmentation by Matched Filtering in Colour Retinal Images

  • Original language description

    A method for segmentation of vessel structure in colour retinal fundus images is presented, based on 2D matched filtering correlating the local image areas with 2D masks obtained via averaging of brightness profiles of vessels for several different vessel widths. Each of the basic masks is rotated in twelve different directions. This way, 60 masks for 5 different widths, each with 12 orientations are produced and used as 2D convolution kernels of the matched filters. The maximum response of all the filter responses for a concrete local area thus carries, if there is a vessel present, the information both on the width and orientation of the vessel segment. Compared to the previously published results, the segmentation has been improved primarily in twodirections: the width resolution has been increased from 3 to 5 classes with a better approximation of the brightness profiles, and the orientation information is now utilized to provide vessel direction maps that are further used in the

  • Czech name

    Vylepšení metody segmentace cév retinálních snímků pomocí přizpůsobených filtrů

  • Czech description

    A method for segmentation of vessel structure in colour retinal fundus images is presented, based on 2D matched filtering correlating the local image areas with 2D masks obtained via averaging of brightness profiles of vessels for several different vessel widths. Each of the basic masks is rotated in twelve different directions. This way, 60 masks for 5 different widths, each with 12 orientations are produced and used as 2D convolution kernels of the matched filters. The maximum response of all the filter responses for a concrete local area thus carries, if there is a vessel present, the information both on the width and orientation of the vessel segment. Compared to the previously published results, the segmentation has been improved primarily in twodirections: the width resolution has been increased from 3 to 5 classes with a better approximation of the brightness profiles, and the orientation information is now utilized to provide vessel direction maps that are further used in the

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>

  • Continuities

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

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IFMBE Proceedings of World Congress on Medical Physics and Biomedical Engineering

  • ISBN

    978-3-642-03897-6

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Springer

  • Place of publication

    Neuveden

  • Event location

    Mnichov

  • Event date

    Sep 7, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article