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Conference paper2011

Refinement of Segmented Virus Particle Candidates in TEM Images

Kylberg, Gustaf; Sintorn, Ida-Maria

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

Published in

Title: Proceedings : SSBA'11
Publisher: Svenska Sällskapet för Automatiserad Bildanalys

Conference

SSBA Symposium on Image Analysis 2011

      SLU Authors

    • Sintorn, Ida-Maria

      • Centre for Image Analysis, Swedish University of Agricultural Sciences

    UKÄ Subject classification

    Computer Science
    Medical Image Processing

    Permanent link to this page (URI)

    https://res.slu.se/id/publ/35990