Estimators of the Intensity of Fibre Processes and Applications

Conference paper
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 17)

Abstract

Many objects in the real world can be modeled as fibres (i.e. lines in 2D or 3D space). If the process is invariant under translations, one of its characteristics is the mean length per unit area (called intensity). Under suitable conditions, two estimators of the intensity have been shown to be asymptotically normal when the sample is “enriched” by enlarging the window of observation. We discuss the applicability of these estimators in practice, by using both simulated and real images of fibre processes.

Keywords

Intersection Point Asymptotic Normality Unbiased Estimator Real Image Simulated Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Paola M. V. Rancoita
    • 1
    • 2
  • Alessandra Micheletti
    • 3
  1. 1.Istituto Dalle Molle di Studi sull’Intelligenza ArtificialeManno-LuganoSwitzerland
  2. 2.Laboratory of Experimental OncologyOncology Institute of Southern SwitzerlandBellinzonaSwitzerland
  3. 3.Dipartimento di MatematicaUniversità degli Studi di MilanoMilanoItaly

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