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Computer Vision and Graphics pp 558–564Cite as

MORPHOLOGICAL NORMALIZATION OF IMAGE BINARY CUTS

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

Abstract

An algorithm of affine image transformations search on the base of morphological operations has been proposed. Images are represented as sets of binary cuts, that gives possibilities to find affinity via solution of overdetermined linear equations systems under formation by means of obtained corresponding affineequivalent points. Presence of several image cuts provides a reliability increasing due to result averaging.

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Author information

Authors and Affiliations

  1. department of computer science, Kharkov National University of Radio Electronics, 14, Lenin ave, Kharkov, 61166, Ukraine

    Andrey Chupikov, Sergey Mashtalir & Elena Yegorova

Authors
  1. Andrey Chupikov
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  2. Sergey Mashtalir
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  3. Elena Yegorova
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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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Chupikov, A., Mashtalir, S., Yegorova, E. (2006). MORPHOLOGICAL NORMALIZATION OF IMAGE BINARY CUTS. 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_80

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  • DOI: https://doi.org/10.1007/1-4020-4179-9_80

  • 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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