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Research article2004Peer reviewed

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

Sintorn IM, Homman-Loudiyi M, Soerberg-Naucler C, Borgefors G

Abstract

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

Published in

Computer Methods and Programs in Biomedicine
2004, volume: 76, number: 2, pages: 95-102
Publisher: ELSEVIER SCI IRELAND LTD

      SLU Authors

    • Sintorn, Ida-Maria

      • Centre for Image Analysis, Swedish University of Agricultural Sciences

      • Borgefors, Gunilla

        • Centre for Image Analysis, Swedish University of Agricultural Sciences

      Publication identifier

      DOI: https://doi.org/10.1016/j.cmpb.2004.03.006

      Permanent link to this page (URI)

      https://res.slu.se/id/publ/5602