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On Directionality in Morphological Feature Extraction

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Computer Vision and Graphics (ICCVG 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7594))

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Abstract

Morphological feature extraction allows obtaining a feature vector that can be used in pattern recognition. It is a two stage process, based on the extraction of morphological spatial classes and class distribution functions in order to obtain a feature vector. In this paper, we discuss two ways of considering directionality within this process. The first approach is based on division of the image space into sectors, in which the spatial classes are computed. The second makes use of directional structuring element used by morphological operators. Example applications and test results are also presented in the paper.

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References

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Author information

Authors and Affiliations

  1. Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw, Poland, Koszykowa 75, 00-662, Warszawa, Poland

    Michał Świercz & Marcin Iwanowski

Authors
  1. Michał Świercz
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  2. Marcin Iwanowski
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa, 02-008, Warsaw, Poland

    Leonard Bolc

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warszawa, Poland

    Konrad Wojciechowski

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© 2012 Springer-Verlag Berlin Heidelberg

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Świercz, M., Iwanowski, M. (2012). On Directionality in Morphological Feature Extraction. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_81

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  • DOI: https://doi.org/10.1007/978-3-642-33564-8_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33563-1

  • Online ISBN: 978-3-642-33564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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