Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A probabilistic template model for finding macromolecules in MET volume images
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
2013 (English)In: Pattern Recognition and Image Analysis, Springer Berlin/Heidelberg, 2013, 855-862 p.Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

We introduce and investigate probabilistic templates with particular focus on the application of protein identification in electron tomography volumes. We suggest to create templates with a weighted averaging operation of several object instances after alignment of an identified subpart. The subpart to be aligned should, ideally, correspond to a rigid and easily identifiable part of the object. The proposed templates enable common rigid template matching methods to also find different shape variations without increasing time complexity in the actual search procedure, since a static template is still used. We present general ideas on how to perform the object instance alignment and look specifically at how to do it for the antibody macromolecule IgG.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. 855-862 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 7887
National Category
Medical Image Processing
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-209645DOI: 10.1007/978-3-642-38628-2_101ISBN: 978-3-642-38627-5 (print)OAI: oai:DiVA.org:uu-209645DiVA: diva2:658827
Conference
IbPRIA 2013, June 5-7, Funchal, Madeira, Portugal
Available from: 2013-10-23 Created: 2013-10-23 Last updated: 2013-10-30Bibliographically approved

Open Access in DiVA

ptemplates_ibpria2013.pdf(293 kB)156 downloads
File information
File name FULLTEXT01.pdfFile size 293 kBChecksum SHA-512
9ca5a3565950f413fbf5679200a26bfc823bb4d03faf87debe580a2f6a19124fd54d792cc5842eb28498ee9ec3e3c0386f3f4e1c7c7ee489831af427c273e74d
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Svensson, LennartSintorn, Ida-Maria
By organisation
Division of Visual Information and InteractionComputerized Image Analysis and Human-Computer Interaction
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 156 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 425 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf