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Applications of Scale-Space Theory

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Gaussian Scale-Space Theory

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

Abstract

The attractive aspect of (linear and nonlinear) scale-space theory is its solid mathematical framework. For this reason quite some emphasis has been placed on the development of the theoretical foundations. The core of the paradigm is the notion of sampling, a physical observation through a multi-size aperture, and where the aperture size is the variable parameter ‘scale’.

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© 1997 Springer Science+Business Media Dordrecht

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ter Haar Romeny, B. (1997). Applications of Scale-Space Theory. 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_1

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  • DOI: https://doi.org/10.1007/978-94-015-8802-7_1

  • 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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