α Scale Spaces on a Bounded Domain | SpringerLink
Skip to main content

α Scale Spaces on a Bounded Domain

  • Conference paper
  • First Online:
Scale Space Methods in Computer Vision (Scale-Space 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2695))

Included in the following conference series:

  • 1038 Accesses

Abstract

We consider α scale spaces, a parameterized class (α ∈ (0, 1]) of scale space representations beyond the well-established Gaussian scale space, which are generated by the α-th power of the minus Laplace operator on a bounded domain using the Neumann boundary condition. The Neumann boundary condition ensures that there is no grey-value flux through the boundary. Thereby no artificial grey-values from outside the image affect the evolution proces, which is the case for the α scale spaces on an unbounded domain. Moreover, the connection between the α scale spaces which is not trivial in the unbounded domain case, becomes straightforward: The generator of the Gaussian semigroup extends to a compact, self-adjoint operator on the Hilbert space L2(Ω) and therefore it has a complete countable set of eigen functions. Taking the α-th power of the Gaussian generator simply boils down to taking the α-th power of the corresponding eigenvalues. Consequently, all α scale spaces have exactly the same eigen-modes and can be implemented simultaneously as scale dependent Fourier series. The only difference between them is the (relative) contribution of each eigen-mode to the evolution proces. By introducing the notion of (non-dimensional) relative scale in each α scale space, we are able to compare the various α scale spaces. The case α = 0.5, where the generator equals the square root of the minus Laplace operator leads to Poisson scale space, which is at least as interesting as Gaussian scale space and can be extended to a (Clifford) analytic scale space.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. R. Duits, M. Felsberg, and L. Florack. α scale spaces on a bounded domain. Technical report, TUE, Eindhoven, March 2003. In Preparation.

    Google Scholar 

  2. R. Duits, L. M. J. Florack, J. De Graaf, and B. M. ter Haar Romeny. On the axioms of scale space theory. Accepted for publication in Journal of Mathematical Imaging and Vision, 2002.

    Google Scholar 

  3. M. Felsberg. Low-Level Image Processing with the Structure Multivector. PhD thesis, Institute of Computer Science and Applied Mathematics Christian-Albrechts-University of Kiel, 2002.

    Google Scholar 

  4. M. Felsberg, R. Duits, and L.M.J. Florack. The monogenic scale space on a bounded domain and its applications. Accepted for publication in proceedings Scale Space Conference 2003.

    Google Scholar 

  5. M. Felsberg and G. Sommer. Scale adaptive filtering derived from the Laplace equation. In B. Radig and S. Florczyk, editors, 23. DAGM Symposium Mustererkennung, München, volume 2191 of Lecture Notes in Computer Science, pages 124–131. Springer, Heidelberg, 2001.

    Google Scholar 

  6. M. Felsberg and G. Sommer. The Poisson scale-space: A unified approach to phase-based image processing in scale-space. Journal of Mathematical Imaging and Vision, 2002. submitted.

    Google Scholar 

  7. L. M. J. Florack. A geometric model for cortical magnification. In S.-W. Lee, H. H. Bülthoff, and T. Poggio, editors, Biologically Motivated Computer Vision: Proceedings of the First IEEE International Workshop, BMCV 2000 (Seoul, Korea, May 2000), volume 1811 of Lecture Notes in Computer Science, pages 574–583, Berlin, May 2000. Springer-Verlag.

    Google Scholar 

  8. L. M. J. Florack, R. Maas, and W. J. Niessen. Pseudo-linear scale-space theory. International Journal of Computer Vision, 31(2/3):247–259, April 1999.

    Article  Google Scholar 

  9. J.E. Gilbert and M.A.M. Murray. Clifford algebras and Dirac operators in harmonic analysis. Cambridge University Press, Cambridge, 1991.

    MATH  Google Scholar 

  10. G. Hellwig. Partial Differential Equations. Blaisdell Publishing Company, 1964.

    Google Scholar 

  11. F.M.W. Kanters, B. Platel, L.M.J. Florack and B.M. ter Haar Romeny. Content based image retrieval using multiscale top points. In proceedings of the scale space conference, 2003.

    Google Scholar 

  12. A. Kuijper and L. M. J. Florack. Hierarchical pre-segmentation without prior knowledge. In Proceedings of the 8th International Conference on Computer Vision (Vancouver, Canada, July 9–12, 2001), pages 487–493. IEEE Computer Society Press, 2001.

    Google Scholar 

  13. E. J. Pauwels, L. J. Van Gool, P. Fiddelaers, and T. Moons. An extended class of scale-invariant and recursive scale space filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(7):691–701, July 1995.

    Article  Google Scholar 

  14. B. Platel, L.M.J. Florack, F. Kanters, and B. M. ter Haar Romeny. Multi-scale hierarchical segmentation. In Scale Space Conference 2003 submitted.

    Google Scholar 

  15. K. I. Sato. Lévy processes and Infinitely Divisible Distributions. Cambridge University Press, Cambridge, 1999.

    MATH  Google Scholar 

  16. J.N. Watson. A Treatise on the Theory of Bessel Functions. Cambridge University Press, Cambridge, 1996. Originally published by Cambridge University Press 1922.

    Google Scholar 

  17. J. A. Weickert. Anisotropic Diffusion in Image Processing. ECMI Series. Teubner, Stuttgart, January 1998.

    MATH  Google Scholar 

  18. J. Wloka. Partial Differential Equations. Cambridge University Press, Cambridge, 1987.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Duits, R., Felsberg, M., Florack, L., Platel, B. (2003). α Scale Spaces on a Bounded Domain. In: Griffin, L.D., Lillholm, M. (eds) Scale Space Methods in Computer Vision. Scale-Space 2003. Lecture Notes in Computer Science, vol 2695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44935-3_34

Download citation

  • DOI: https://doi.org/10.1007/3-540-44935-3_34

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40368-5

  • Online ISBN: 978-3-540-44935-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics