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Scale-Space Generators and Functionals

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Gaussian Scale-Space Theory

Part of the book series: Computational Imaging and Vision ((CIVI,volume 8))

Abstract

In this chapter we will try to relate axiomatic formulations of scale-spaces with regularization theory. Most axiomatic formulations do not directly require regularity properties of scale-space. Nevertheless, an analytic filter is singled out so that scale-space appears to have strong regularity properties. These properties could also be stated as first principles in terms of Tikhonov regularization. In this chapter we study how scale-space properties as described in previous chapters and regularity properties interact in axiomatic formulations.

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© 1997 Springer Science+Business Media Dordrecht

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Nielsen, M. (1997). Scale-Space Generators and Functionals. In: Sporring, J., Nielsen, M., Florack, L., Johansen, P. (eds) Gaussian Scale-Space Theory. Computational Imaging and Vision, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8802-7_7

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  • DOI: https://doi.org/10.1007/978-94-015-8802-7_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4852-3

  • Online ISBN: 978-94-015-8802-7

  • eBook Packages: Springer Book Archive

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