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A refined circular template matching method for classification of human cytomegalovirus capsids in TEM images
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2004 (English)In: Computer Methods and Programs in Biomedicine, Vol. 76, 95-102 p.Article in journal (Refereed) Published
Abstract [en]

An automatic image analysis method for describing, segmenting, and classifying Human Cyto\-megalo\-virus c

apsids in transmission electron micrograph (TEM) images of host cell nuclei has been developed. Three stage

s of the capsid assembly process in the host cell nucleus have been investigated. Each class is described b

y a radial density profile, which is the average grey-level at each radial distance from the centre. A temp

late, 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, resulti

ng in a final segmentation and classification.

Place, publisher, year, edition, pages
2004. Vol. 76, 95-102 p.
Keyword [en]
Image analysis, Radial density profile, Herpesvirus, Correlation
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-67397DOI: doi:10.1016/j.cmpb.2004.03.006OAI: oai:DiVA.org:uu-67397DiVA: diva2:95308
Available from: 2005-05-23 Created: 2005-05-23 Last updated: 2011-01-12

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Sintorn, Ida-MariaBorgefors, Gunilla

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