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

Ida-Maria Sintorn; Gunilla Borgefors; M. Homman-Loudiyi; C. Söderberg-Nauclér

doi:10.1016/j.cmpb.2004.03.006

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

Ida-Maria Sintorn
, Gunilla Borgefors
, M. Homman-Loudiyi
, C. Söderberg-Nauclér

Publication: Contribution to journal › Journal article › peer-review

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.

Original language	English
Pages (from-to)	95-102
Number of pages	8
Journal	Computer Methods and Programs in Biomedicine
Volume	76
Issue number	2
DOIs	https://doi.org/10.1016/j.cmpb.2004.03.006
Publication status	Published - 2004

Keywords

image analysis
radial density profile
herpesvirus
correlation

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10.1016/j.cmpb.2004.03.006

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title = "A refined circular template matching method for classification of human cytomegalovirus capsids in TEM images",

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.",

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author = "Ida-Maria Sintorn and Gunilla Borgefors and M. Homman-Loudiyi and C. S{\"o}derberg-Naucl{\'e}r",

year = "2004",

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language = "English",

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T1 - A refined circular template matching method for classification of human cytomegalovirus capsids in TEM images

AU - Sintorn, Ida-Maria

AU - Borgefors, Gunilla

AU - Homman-Loudiyi, M.

AU - Söderberg-Nauclér, C.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - image analysis

KW - radial density profile

KW - herpesvirus

KW - correlation

KW - image analysis

KW - radial density profile

KW - herpesvirus

KW - correlation

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

U2 - 10.1016/j.cmpb.2004.03.006

DO - 10.1016/j.cmpb.2004.03.006

M3 - Journal article

C2 - 15451159

SN - 0169-2607

VL - 76

SP - 95

EP - 102

JO - Computer Methods and Programs in Biomedicine

JF - Computer Methods and Programs in Biomedicine

IS - 2

ER -

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

Abstract

Keywords

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