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Local Intensity and...
Local Intensity and PCA Based Detection of Virus Particle Candidates in Transmission Electron Microscopy Images
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- Kylberg, Gustaf (författare)
- Uppsala universitet,Datoriserad bildanalys
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- Sintorn, Ida-Maria (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Datoriserad bildanalys,Centrum för bildanalys,Centre for Image Analysis
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Uppström, Mats (författare)
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Ryner, Martin (författare)
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(creator_code:org_t)
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- ISBN 9789531841351
- Piscataway, NJ : IEEE, 2009
- 2009
- Engelska.
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Ingår i: Proc. 6th International Symposium on Image and Signal Processing and Analysis. - Piscataway, NJ : IEEE. - 9789531841351 ; , s. 426-431
- Relaterad länk:
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Abstract
Ämnesord
Stäng
- We present a general method using local intensity informationand PCA to detect objects characterized onlyby that they differ from their surroundings. We apply ourmethod to the problem of automatically detecting virus particlecandidates in transmission electron microscopy images.Viruses have very different shapes and sizes, manyspecies are spherical whereas others are highly pleomorphic.To detect any kind of virus particles in electron microscopyimages it is therefore necessary to use a methodnot restricted to detection of a specific shape. The methodproposed here uses only one input parameter, the approximatevirus thickness, which is a conserved feature withina virus species. It is capable to detect virus particles ofvery varying shapes. Results on images with highly texturedbackground of several different virus species are presented.
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
- Bildanalys
- Datoriserad bildanalys
- Computerized Image Analysis
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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