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Recognition of Local Symmetries in Gray Value Images by Harmonic Functions
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1988 (English)In: Proceedings of the 9th International Conference on Pattern Recognition, Vol. 1, 1988, 345-347 p.Conference paper, Published paper (Refereed)
Abstract [en]

A method for modeling symmetries of the neighborhoods in gray-value images is derived. It is based on the form of the iso-gray-value curves. For every neighborhood a complex number is obtained through a convolution of a complex-valued image with a complex-valued filter. The magnitude of the complex number is the degree of symmetry with respect to the a priori chosen harmonic function pair. The degree of symmetry has a clear definition which is based on the error in the Fourier domain. The argument of the complex number is the angle representing the relative dominance of one of the pair of harmonic functions compared to the other.

Place, publisher, year, edition, pages
1988. 345-347 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-21713DOI: 10.1109/ICPR.1988.28238ISBN: 0-8186-0878-1 (print)OAI: oai:DiVA.org:liu-21713DiVA: diva2:273828
Conference
9th International Conference on Pattern Recognition, November 14-17, Rome, Italy
Available from: 2009-10-25 Created: 2009-10-05 Last updated: 2014-01-28Bibliographically approved

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Recognition of Local Symmetries in Gray Value Images by Harmonic Functions(842 kB)91 downloads
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Bigun, Josef

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CiteExportLink to record
Permanent link

Direct link
Cite
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