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Adaptive Preprocessing of X-ray Hand Images

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Information Technologies in Biomedicine, Volume 3

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 283))

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Abstract

In this paper an algorithm based on gradient methods and binarization threshold selection is proposed. The finger bones contourisation, the finger joints localization, the fingers segmentation and the noise elimination are the considered tasks. The introduced method gives promising results.

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Author information

Authors and Affiliations

  1. Department of Geoinfomatics and Applied Computer Science, AGH University of Science and Technology, A. Mickiewicza 30 Av., 30059, Cracow, Poland

    Marzena Bielecka & Adam Piórkowski

Authors
  1. Marzena Bielecka
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  2. Adam Piórkowski
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Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Bielecka, M., Piórkowski, A. (2014). Adaptive Preprocessing of X-ray Hand Images. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 3. Advances in Intelligent Systems and Computing, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-319-06593-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-06593-9_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06592-2

  • Online ISBN: 978-3-319-06593-9

  • eBook Packages: EngineeringEngineering (R0)

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