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Temporal-Impulse Description of Complex Images Based on Cellular Automata

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Parallel Computing Technologies (PaCT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7979))

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Abstract

This article describes method of recognition of complex images with different forms of representation. Image recognition system where image is described with impulse sequence with the help of cellular automata, used to recognize the image, has been created. The system can recognize images invariant to turning and scale variations.

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References

  1. Leon, O.C., Tamas, R.: Cellular Neural Networks & Visual Computing, 396 p. Cambridge University Press (2002)

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  7. Belan, S., Belan, N.: Use of Cellular Automata to Create an Artificial System of Image Classification and Recognition. In: Sirakoulis, G.C., Bandini, S. (eds.) ACRI 2012. LNCS, vol. 7495, pp. 483–493. Springer, Heidelberg (2012)

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Author information

Authors and Affiliations

  1. State Economic and Technologies Transport University, Kiev, Ukraine

    Stepan Belan

  2. “Transnistrian Radio and Television Center” OJSC, Russia

    Nikolay Belan

Authors
  1. Stepan Belan
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  2. Nikolay Belan
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Editor information

Editors and Affiliations

  1. Institute of Computational Mathematics and Mathematical Geophysics, Supercomputer Department, Russian Academy of Science, 630090, Novosibirsk, Russia

    Victor Malyshkin

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Belan, S., Belan, N. (2013). Temporal-Impulse Description of Complex Images Based on Cellular Automata. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2013. Lecture Notes in Computer Science, vol 7979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39958-9_27

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  • DOI: https://doi.org/10.1007/978-3-642-39958-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39957-2

  • Online ISBN: 978-3-642-39958-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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