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On the Local Connectivity Number of Stationary Random Closed Sets

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Mathematical Morphology: 40 Years On

Part of the book series: Computational Imaging and Vision ((CIVI,volume 30))

Abstract

Random closed sets (RACS) in the d—dimensional Euclidean space are considered, whose realizations belong to the extended convex ring. A family of nonparametric estimators is investigated for the simultaneous estimation of the vector of all specific Minkowski functionals (or, equivalently, the specific intrinsic volumes) of stationary RACS. The construction of these estimators is based on a representation formula for the expected local connectivity number of stationary RACS intersected with spheres, whose radii are small in comparison with the size of the whole sampling window. Asymptotic properties of the estimators are given for unboundedly increasing sampling windows. Numerical results are provided as well.

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References

  1. J.-P. Chilès and P. Delfiner. Geostatistics: Modelling Spatial Uncertainty. J. Wiley & Sons, New York, 1999.

    Google Scholar 

  2. N. A. C. Cressie. Statistics for Spatial Data. J. Wiley & Sons, New York, 2nd edition, 1993.

    Google Scholar 

  3. A. V. Ivanov and N. N. Leonenko. Statistical Analysis of Random Fields. Kluwer, Dordrecht, 1989.

    Google Scholar 

  4. S. Klenk, J. Mayer, V. Schmidt, and E. Spodarev. Algorithms for the computation of Minkowski functionals of deterministic and random polyconvex sets. Preprint, 2005.

    Google Scholar 

  5. S. Klenk, V. Schmidt, and E. Spodarev. A new algorithmic approach for the computation of Minkowski functionals of polyconvex sets. Preprint, 2004. Submitted.

    Google Scholar 

  6. G. Matheron. Random Sets and Integral Geometry. J. Wiley & Sons, New York, 1975.

    Google Scholar 

  7. I. S. Molchanov. Statistics of the Boolean Model for Practitioners and Mathematicians. J. Wiley & Sons, Chichester, 1997.

    Google Scholar 

  8. I. S. Molchanov and S. A. Zuyev. Variational analysis of functionals of a Poisson process. Mathematics of Operations Research, 25:485–508, 2000.

    Article  Google Scholar 

  9. W. G. Müller. Collecting Spatial Data. Physica-Verlag, Heidelberg, 2001.

    Google Scholar 

  10. J. Ohser and F. Mticklich. Statistical Analysis of Microstructures in Materials Science. J. Wiley & Sons, Chichester, 2000.

    Google Scholar 

  11. V. Schmidt and E. Spodarev. Joint estimators for the specific intrinsic volumes of stationary random sets. Preprint, 2004. To appear in Stochastic Processes and their Applications.

    Google Scholar 

  12. R. Schneider. Convex Bodies. The Brunn-Minkowski Theory. Cambridge University Press, Cambridge, 1993.

    Google Scholar 

  13. R. Schneider and W. Weil. Stochastische Geometrie. Teubner Skripten zur Mathematischen Stochastik. Teubner, Stuttgart, 2000.

    Google Scholar 

  14. J. Serra. The Boolean model and random sets. Computer Graphics and Image Processing, 12:99–126, 1980.

    Google Scholar 

  15. J. Serra. Image Analysis and Mathematical Morphology. Academic Press, London, 1982.

    Google Scholar 

  16. J. Serra. Image Analysis and Mathematical Morphology: Theoretical Advances, volume 2. Academic Press, London, 1988.

    Google Scholar 

  17. E. Spodarev. Isoperimetric problems and roses of neighborhood for stationary flat processes. Mathematische Nachrichten, 251(4):88–100, 2003.

    Article  Google Scholar 

  18. D. Stoyan, W. S. Kendall, and J. Mecke. Stochastic Geometry and its Applications. J. Wiley & Sons, Chichester, 2nd edition, 1995.

    Google Scholar 

  19. H. Wackernagel. Multivariate Geostatistics. Springer, Berlin, 2nd edition, 1998.

    Google Scholar 

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Spodarev, E., Schmidt, V. (2005). On the Local Connectivity Number of Stationary Random Closed Sets. In: Ronse, C., Najman, L., Decencière, E. (eds) Mathematical Morphology: 40 Years On. Computational Imaging and Vision, vol 30. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3443-1_31

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  • DOI: https://doi.org/10.1007/1-4020-3443-1_31

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-3442-8

  • Online ISBN: 978-1-4020-3443-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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