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International Conference on Computer Vision and Graphics

ICCVG 2008: Computer Vision and Graphics pp 391–399Cite as

Image Recognition Technique for Unmanned Aerial Vehicles

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5337))

Abstract

Developing fast and accurate 2D image processing algorithms is an important task for the practical use of cybernetics. This paper presents an algorithm for fast and accurate blob detection and extraction based on the usage of two parameters ζ and χ. The algorithm is aimed to work in the color domain to prevent any loss of information but can also be implemented on gray-scale images. Achieved regions of interest can be further processed to achieve high level description. The algorithm is implemented in Java environment in order to adduce results on different video devices and system platforms.

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References

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Author information

Authors and Affiliations

  1. Polish-Japanese Institute of Information Technology, Aleja Legionow 2, 41-902, Bytom, Poland

    Karol Jȩdrasiak

  2. Department of Automatic Control and Robotics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Aleksander Nawrat

Authors
  1. Karol Jȩdrasiak
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  2. Aleksander Nawrat
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Editor information

Editors and Affiliations

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

    Leonard Bolc

  2. Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Księcia Trojdena 4, 02-109, Warsaw, Poland

    Juliusz L. Kulikowski

  3. Polish-Japanese Institute of Information Technology, The Silesian University of Technology, Institute of Computer Science, 86 Koszykowa St, 02-008, Warsaw, Poland

    Konrad Wojciechowski

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© 2009 Springer-Verlag Berlin Heidelberg

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Jȩdrasiak, K., Nawrat, A. (2009). Image Recognition Technique for Unmanned Aerial Vehicles. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2008. Lecture Notes in Computer Science, vol 5337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02345-3_38

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  • DOI: https://doi.org/10.1007/978-3-642-02345-3_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02344-6

  • Online ISBN: 978-3-642-02345-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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