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The Detection of Horizontal Lines Based on the Monte Carlo Reduced Resolution Images

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Book cover Computer Vision and Graphics (ICCVG 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8671))

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Abstract

This paper presents the idea of fast algorithm for detecting horizontal lines in digital images. For this algorithm a dedicated procedure of data size reduction is proposed which utilizes the Monte Carlo method for preparation of lower size images from original High Definition ones. This approach is proposed for real-time, embedded systems or steering the mobile robot based on image analysis. The presented method is similar to downgrading the image resolution. The nearly real-time algorithm has been tested on real image data sets obtained from the mobile robot camera.

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Author information

Authors and Affiliations

  1. Department of Signal Processing and Multimedia Engineering, West Pomeranian University of Technology, Szczecin, 26. Kwietnia 10, 71-126, Szczecin, Poland

    Piotr Lech

Authors
  1. Piotr Lech
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Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences (SGGW), Poland

    Leszek J. Chmielewski

  2. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences - SGGW, Nowoursynowska str. 159, 02-776, Warsaw, Poland

    Ryszard Kozera

  3. The .enpeda.. Project, The University of Auckland, New Zealand

    Bok-Suk Shin

  4. Institute of Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Konrad Wojciechowski

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© 2014 Springer International Publishing Switzerland

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Lech, P. (2014). The Detection of Horizontal Lines Based on the Monte Carlo Reduced Resolution Images. In: Chmielewski, L.J., Kozera, R., Shin, BS., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham. https://doi.org/10.1007/978-3-319-11331-9_45

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  • DOI: https://doi.org/10.1007/978-3-319-11331-9_45

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11330-2

  • Online ISBN: 978-3-319-11331-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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