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A refined circular template matching method for classification of human cytomegalovirus capsids in TEM images

  • Ida-Maria Sintorn
  • , Gunilla Borgefors
  • , M. Homman-Loudiyi
  • , C. Söderberg-Nauclér

    Publikation: Bidrag till tidskriftArtikel i vetenskaplig tidskriftPeer review

    Sammanfattning

    An automatic image analysis method for describing, segmenting, and classifying human cytomegalovirus capsids in transmission electron micrograph (TEM) im-ages of host cell nuclei has been developed. Three stages of the capsid assembly process in the host cell nucleus have been investigated. Each class is described by a radial density profile, which is the average grey-level at each radial distance from the center. A template, constructed from the profile, is used to find possible capsid locations by correlation based matching. The matching results are further refined by size and distortion analysis of each possible capsid, resulting in a final segmentation and classification. (C) 2003 Elsevier Ireland Ltd. All rights reserved.
    OriginalspråkEngelska
    Sidor (från-till)95-102
    Antal sidor8
    TidskriftComputer Methods and Programs in Biomedicine
    Volym76
    Nummer2
    DOI
    StatusPublicerad - 2004

    Nyckelord

    • image analysis
    • radial density profile
    • herpesvirus
    • correlation

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