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Robust multi-scale extraction of blob features
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-5698-5983
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2003 (English)In: Proceedings or the 13th Scandinavian Conference, SCIA 2003 / [ed] Josef Bigun and Tomas Gustavsson, Berlin, Heidelberg: SpringerLink , 2003, Vol. 2749, 769-769 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method for detection of homogeneous regions in grey-scale images, representing them as blobs. In order to be fast, and not to favour one scale over others, the method uses a scale pyramid. In contrast to most multi-scale methods this one is non-linear, since it employs robust estimation rather than averaging to move through scale-space. This has the advantage that adjacent and partially overlapping clusters only affect each other's shape, not each other's values. It even allows blobs within blobs, to provide a pyramid blob structure of the image.

Place, publisher, year, edition, pages
Berlin, Heidelberg: SpringerLink , 2003. Vol. 2749, 769-769 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 2749/2003
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-48572DOI: 10.1007/3-540-45103-X_3ISBN: 978-3-540-40601-3 (print)OAI: oai:DiVA.org:liu-48572DiVA: diva2:269468
Conference
13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2015-12-10Bibliographically approved

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Forssén, Per-ErikGranlund, Gösta

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • 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