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Classification and Response Generation
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
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. Granlund and Hans Knutsson, Dordrecht: Kluwer , 1995, 367-397 p.Chapter in book (Refereed)
Abstract [en]

This chapter is not original, but presents methods for linear classification in the tradition of N. J. Nilsson as well as R. O. Duda and P. E. Hart. Part of the motivation for including this well-known material is to allow the vision structure to be brought to a logical conclusion in which feature properties are combined to form responses or class statements. Another motivation developed here is to display the similarity in structure between convolution operations and linear discriminant functions. This brings all operations for feature extraction and classification to the use of a common component, linear discriminants. This is also illustrated in the form of perceptrons, which allows a transition to the modern theory of neural networks.

Place, publisher, year, edition, pages
Dordrecht: Kluwer , 1995. 367-397 p.
Keyword [en]
Computer vision, Biological vision, Vision structure, Adaptive filtering
Keyword [sv]
Seende datorer, Databehandling Bildbehandling
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-66941ISBN: 0-7923-9530-1 (print)ISBN: 978-0-7923-9530-0 (print)OAI: oai:DiVA.org:liu-66941DiVA: diva2:405416
Available from: 2011-03-22 Created: 2011-03-22 Last updated: 2014-04-10Bibliographically approved

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Signal Processing for Computer Vision

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Granlund, Gösta H.

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  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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