Methodology and Computing in Applied Probability

, Volume 14, Issue 4, pp 1011–1032 | Cite as

Model Based Estimation of Geometric Characteristics of Open Foams

  • Katja Schladitz
  • Claudia Redenbach
  • Tetyana Sych
  • Michael Godehardt


Open cell foams are a class of modern materials which is interesting for a wide variety of applications and which is not accessible to classical materialography based on 2d images. 3d imaging by micro computed tomography is a practicable alternative. Analysis of the resulting volume images is either based on a simple binarisation of the image or on so-called cell reconstruction by image processing. The first approach allows to estimate mean characteristics like the mean cell volume using the typical cell of a random spatial tessellation as model for the cell shape. The cell reconstruction allows estimation of empirical distributions of cell characteristics. This paper summarises the theoretical background for the first method, in particular estimation of the intrinsic volumes and their densities from discretized data and models for random spatial tessellations. The accuracy of the estimation method is assessed using the dilated edge systems of simulated random spatial tessellations.


Image analysis 3D images Porous media Solid foams Intrinsic volumes  Spatial tessellation Voronoi tessellation Laguerre tessellation 

AMS 2000 Subject Classifications

Primary 60D05; Secondary 62H35 


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Katja Schladitz
    • 1
  • Claudia Redenbach
    • 2
  • Tetyana Sych
    • 1
  • Michael Godehardt
    • 1
  1. 1.Fraunhofer ITWM, Department Image ProcessingKaiserslauternGermany
  2. 2.Mathematics DepartmentTechnische Universität KaiserslauternKaiserslauternGermany

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