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EVOLUTIONARY APPROACH TO FINDING ITERATED FUNCTION SYSTEMS FOR A TWO DIMENSIONAL IMAGE

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Computer Vision and Graphics

Part of the book series: Computational Imaging and Vision ((CIVI,volume 32))

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Abstract

This paper presents an approach based on evolutionary computations to the IFS inverse problem. A method using variable number of mappings is proposed. Some experimental results are also shown.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Jagiellonian University, Nawojki 11, Cracow, Poland

    Andrzej Bielecki & Barbara Strug

Authors
  1. Andrzej Bielecki
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  2. Barbara Strug
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Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    K. Wojciechowski

  2. Silesian University of Technology, Gliwice, Poland

    B. Smolka

  3. Silesian University of Technology, Gliwice, Poland

    H. Palus

  4. The University of Western Australia, Crawley, Australia

    R.S. Kozera

  5. Warsaw University of Technology, Warsaw, Poland

    W. Skarbek

  6. The University of Western Australia, Crawley, Australia

    L. Noakes

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© 2006 Springer

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Bielecki, A., Strug, B. (2006). EVOLUTIONARY APPROACH TO FINDING ITERATED FUNCTION SYSTEMS FOR A TWO DIMENSIONAL IMAGE. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_73

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_73

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-4178-5

  • Online ISBN: 978-1-4020-4179-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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