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Energy Tensors: Quadratic, Phase Invariant Image Operators
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-6096-3648
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2005 (English)In: Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005. Proceedings / [ed] Walter G. Kropatsch, Robert Sablatnig and Allan Hanbury, Springer Berlin/Heidelberg, 2005, Vol. 3663, 493-500 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we briefly review a not so well known quadratic, phase invariant image processing operator, the energy operator, and describe its tensor-valued generalization, the energy tensor. We present relations to the real-valued and the complex valued energy operators and discuss properties of the three operators. We then focus on the discrete implementation for estimating the tensor based on Teager’s algorithm and frame theory. The kernels of the real-valued and the tensor-valued operators are formally derived. In a simple experiment we compare the energy tensor to other operators for orientation estimation. The paper is concluded with a short outlook to future work.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2005. Vol. 3663, 493-500 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 3663
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-48143DOI: 10.1007/11550518_61ISBN: 978-3-540-28703-2 (print)OAI: oai:DiVA.org:liu-48143DiVA: diva2:269039
Conference
27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2016-05-04

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Felsberg, MichaelJonsson, Erik

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Citation style
  • apa
  • harvard1
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Language
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