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Refinement of Segmented Virus Particle Candidates in TEM Images

  • Gustaf Kylberg
  • , Ida-Maria Sintorn

    Publication: Chapter in Book/Report/Conference proceedingConference paper in proceedings

    Abstract

    In this paper we present a refined segmentation method that detects virus particles of various shapes in transmission electron microscopy images. The method is based on a statistical analysis of local neighborhoods of the pixels in an image followed by an object thickness discrimination and a border refinement procedure. The proposed method is evaluated on a large number of viruses. It successfully segments viruses regardless of shape, from polyhedral to highly pleomorphic
    Original languageEnglish
    Title of host publicationProceedings : SSBA'11
    PublisherSvenska Sällskapet för Automatiserad Bildanalys
    Number of pages4
    Publication statusPublished - 2011

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