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Geometrical Characterization of Various Shaped 3D-Aggregates of Primary Spherical Particules by Radial Distribution Functions

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Image Analysis and Recognition (ICIAR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6112))

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Abstract

Multi-scale aggregates are composed of particles which results themselves of agglomeration of other primary particles. If particles are modeled by their centers, the geometrical characterization of aggregates refers to point pattern analysis. Radial distribution and function of pairs allow a description of the point pattern to be performed. They describe how points are radially packed around each other. In this paper, the characterization of different simulated aggregates are computed and compared.

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References

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Author information

Authors and Affiliations

  1. SPIN/LPMG, UMR CNRS 5148,  

    Marthe Lagarrigue, Sandra Jacquier & Frédéric Gruy

  2. CIS/LPMG, UMR CNRS 5148, Ecole Nationale Supérieure des Mines de Saint-Etienne, 158 cours Fauriel, 42023, Saint-Etienne cedex 2, France

    Johan Debayle & Jean-Charles Pinoli

Authors
  1. Marthe Lagarrigue
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  2. Johan Debayle
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  3. Sandra Jacquier
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  4. Frédéric Gruy
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  5. Jean-Charles Pinoli
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Editor information

Editors and Affiliations

  1. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, Ontario, Canada

    Mohamed Kamel

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© 2010 Springer-Verlag Berlin Heidelberg

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Lagarrigue, M., Debayle, J., Jacquier, S., Gruy, F., Pinoli, JC. (2010). Geometrical Characterization of Various Shaped 3D-Aggregates of Primary Spherical Particules by Radial Distribution Functions. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_43

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  • DOI: https://doi.org/10.1007/978-3-642-13775-4_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13774-7

  • Online ISBN: 978-3-642-13775-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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