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A refined circular ...
A refined circular template matching method for classification of human cytomegalovirus capsids in TEM images
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- Sintorn, Ida-Maria (författare)
- Uppsala universitet,Centrum för bildanalys,Datoriserad bildanalys
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Homman-Loudiyi, Mohammed (författare)
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Söderberg-Nauclér, Cecilia (författare)
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- Borgefors, Gunilla (författare)
- Uppsala universitet,Centrum för bildanalys,Datoriserad bildanalys
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(creator_code:org_t)
- Elsevier BV, 2004
- 2004
- Engelska.
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Ingår i: Computer Methods and Programs in Biomedicine. - : Elsevier BV. - 0169-2607. ; 76, s. 95-102
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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http://kipublication...
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Abstract
Ämnesord
Stäng
- An automatic image analysis method for describing, segmenting, and classifying Human Cyto\-megalo\-virus capsids in transmission electron micrograph (TEM) images 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 centre. 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Image analysis
- Radial density profile
- Herpesvirus
- Correlation
- Image analysis
- Bildanalys
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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