A refined circular template matching method for classification of human cytomegalovirus capsids in TEM images
2004 (English)In: Computer Methods and Programs in Biomedicine, Vol. 76, 95-102 p.Article in journal (Refereed) Published
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.
Image analysis, Radial density profile, Herpesvirus, Correlation
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:uu:diva-67397DOI: doi:10.1016/j.cmpb.2004.03.006OAI: oai:DiVA.org:uu-67397DiVA: diva2:95308