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Adaptive Filtering
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1995 (English)In: Signal Processing for Computer Vision / [ed] Gösta H. Grandlund and Hans Knutsson, Dordrecht: Kluwer , 1995, Vol. 2749, 309-342 p.Chapter in book (Refereed)
Abstract [en]

This chapter presents a computationally efficient technique for adaptive filtering of n-dimensional  signals.

The approach is based on the local signal description given by the orientation tensor discussed in Chapter 6. The adaptive filter output is synthesized as a tensor-controlled weighted summation of shift-invariant filter outputs. Several examples of adaptive filtering in two and three dimensions are given. The chapter contains original results on the extension of the techniques to n dimensions

Place, publisher, year, edition, pages
Dordrecht: Kluwer , 1995. Vol. 2749, 309-342 p.
Keyword [en]
Computer vision, Biological vision, Vision structure, Adaptive filtering
Keyword [sv]
Seende datorer, Databehandling Bildbehandling
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-66939ISBN: 0-7923-9530-1ISBN: 978-0-7923-9530-0OAI: diva2:405410
Available from: 2011-03-22 Created: 2011-03-22 Last updated: 2014-04-16Bibliographically approved

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