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Poor Man’s Rendering Of Segmented Data
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-2849-6146
2013 (English)In: Proceedings of SIGRAD 2013; Visual Computing / [ed] Timo Ropinski and Jonas Unger, Linköping University Electronic Press, 2013, 49-54 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present a set of techniques for fast and efficient rendering of segmented data. Our approach utilizes the expected difference between two co-located texture lookups of a label volume, taken with different interpolation filters, as a feature boundary indicator. This allows us to achieve smooth class boundaries without needing to explicitly sample all eight neighbors in the label volume as is the case with previous methods. We also present a data encoding scheme that greatly simplifies transfer function construction.

Place, publisher, year, edition, pages
Linköping University Electronic Press, 2013. 49-54 p.
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686 (print), 1650-3740 (online) ; 094
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-96043ISBN: 978-91-7519-455-4 (print)OAI: oai:DiVA.org:liu-96043DiVA: diva2:640601
Conference
SIGRAD 2013, Norrköping, Sweden, 13-14 June 2013
Projects
CADICS, CMIV
Available from: 2013-08-14 Created: 2013-08-14 Last updated: 2015-09-22Bibliographically approved

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Lindholm, StefanBock, Alexander

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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