Classification and Response Generation
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)
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.
Computer vision, Biological vision, Vision structure, Adaptive filtering
Seende datorer, Databehandling Bildbehandling
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-66941ISBN: 0-7923-9530-1ISBN: 978-0-7923-9530-0OAI: oai:DiVA.org:liu-66941DiVA: diva2:405416