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An Image Analysis Algorithm for Soil Structure Identification

  • Conference paper
Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 323))

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Abstract

Pore space study has been utilized as a general method for defining soil structures. This is because the characteristics particular to pore space impact the majority of physical and physicochemical soil parameters relevant due to plant growth. This paper presents an image segmentation approach for detecting the soil pore structures that have been studied by way of soil tomography sections. In so-doing, a research study was conducted using a density-based clustering method, and in turn, the nonparametric kernel estimation methodology. This overcomes the rigidity of arbitrary assumptions concerning the number or shape of clusters among data, and lets the researcher detect inherent data structures. After a short description of the method, the practical aspects and applications illustrated with a number of soil aggregates are presented.

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Author information

Authors and Affiliations

  1. Polish Academy of Sciences, Systems Research Institute, Centre of Information Technology for Data Analysis Methods, Newelska 6, 01-447, Warsaw, Poland

    MaƂgorzata Charytanowicz & Piotr Kulczycki

  2. Institute of Mathematics and Computer Science, Catholic University of Lublin, Konstantynow 1H, 20-708, Lublin, Poland

    MaƂgorzata Charytanowicz

  3. Department of Automatic Control and Information Technology, Cracow University of Technology, Warszawska 24, 31-155, Cracow, Poland

    Piotr Kulczycki

Authors
  1. MaƂgorzata Charytanowicz
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  2. Piotr Kulczycki
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Corresponding author

Correspondence to MaƂgorzata Charytanowicz .

Editor information

Editors and Affiliations

  1. Ford Motor Company, Research & Advanced Engineering, Dearborn, Mississippi, USA

    D. Filev

  2. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    J. JabƂkowski

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    J. Kacprzyk

  4. Polish Academy of Sciences and WIT - Warsaw School of Information Technology, Systems Research Institute, Warsaw, Poland

    M. Krawczak

  5. Bulgarian Academy of Sciences, Institute of Information and Communication, Sofia, Bulgaria

    I. Popchev

  6. Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland

    L. Rutkowski

  7. Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Sofia, Bulgaria

    V. Sgurev

  8. Department of Computer and Information Technologies, “Prof. Assen Zlatarov" University Faculty of Technical Sciences, Bourgas, Bulgaria

    E. Sotirova

  9. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    P. Szynkarczyk

  10. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    S. Zadrozny

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Charytanowicz, M., Kulczycki, P. (2015). An Image Analysis Algorithm for Soil Structure Identification. In: Filev, D., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-319-11310-4_59

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  • DOI: https://doi.org/10.1007/978-3-319-11310-4_59

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11309-8

  • Online ISBN: 978-3-319-11310-4

  • eBook Packages: EngineeringEngineering (R0)

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