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Sensitivity of Area–Perimeter Relation for Image Analysis and Image Segmentation Purposes

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Book cover Hard and Soft Computing for Artificial Intelligence, Multimedia and Security (ACS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 534))

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Abstract

Image analysis with the use of fractal estimators is important for the description of grayscale images. The sensitivity of Area–Perimeter Relation (APR) using Brodatz texture database and Monte Carlo approach is evaluated in this paper. Obtained APR curve is approximated using polynomial and two parameters of polynomial are applied as discrimination parameters. A few techniques for the evaluation of APR are applied. The results show the possibility of the discrimination using single or two polynomial parameters even for a few textures. The quality of discrimination (separation between textures classes) could be improved if larger window analysis sizes is applied.

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Author information

Authors and Affiliations

  1. Faculty of Motor Transport, Higher School of Technology and Economics in Szczecin, Klonowica 14 St., 71244, Szczecin, Poland

    Dorota Oszutowska–Mazurek

  2. Department of Epidemiology and Management, Pomeranian Medical University, Zolnierska 48 St., 71210, Szczecin, Poland

    Dorota Oszutowska–Mazurek

  3. Department of Signal Processing and Multimedia Engineering, West–Pomeranian University of Technology, Szczecin, 26. Kwietnia 10 St., 71126, Szczecin, Poland

    Przemysław Mazurek

Authors
  1. Dorota Oszutowska–Mazurek
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  2. Przemysław Mazurek
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Corresponding author

Correspondence to Dorota Oszutowska–Mazurek .

Editor information

Editors and Affiliations

  1. Graduate School of Science and Engineeri, Ehime University Graduate School of Science and Engineeri, Ehime, Japan

    Shin-ya Kobayashi

  2. West Pomeranian University of Technology in Szczecin , Szczecin, Poland

    Andrzej Piegat

  3. West Pomeranian University of Technology in Szczecin , Szczecin, Poland

    Jerzy Pejaś

  4. West Pomeranian University of Technology in Szczecin , Szczecin, Poland

    Imed El Fray

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

    Janusz Kacprzyk

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Oszutowska–Mazurek, D., Mazurek, P. (2017). Sensitivity of Area–Perimeter Relation for Image Analysis and Image Segmentation Purposes. In: Kobayashi, Sy., Piegat, A., Pejaś, J., El Fray, I., Kacprzyk, J. (eds) Hard and Soft Computing for Artificial Intelligence, Multimedia and Security. ACS 2016. Advances in Intelligent Systems and Computing, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-319-48429-7_22

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  • DOI: https://doi.org/10.1007/978-3-319-48429-7_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48428-0

  • Online ISBN: 978-3-319-48429-7

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