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Image Processing and Communications Challenges 5 pp 73–80Cite as

A Fast Histogram Estimation Based on the Monte Carlo Method for Image Binarization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 233))

Summary

In the paper the idea of fast histogram estimation is proposed which is based on the application of the Monte Carlo method. Presented method can be useful for fast image binarization especially for low computational efficiency solutions e.g. autonomous mobile robots. Proposed method has been compared with full image analysis and the obtained estimates have been used for threshold determination and binarization using well-known Otsu method.

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References

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Author information

Authors and Affiliations

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

    Piotr Lech, Krzysztof Okarma & Mateusz Tecław

Authors
  1. Piotr Lech
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  2. Krzysztof Okarma
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  3. Mateusz Tecław
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Corresponding author

Correspondence to Piotr Lech .

Editor information

Editors and Affiliations

  1. Life Sciences, Institute of Telecommunications, University of Technology, ul.S.Kaliskiego 7, Bydgoszcz, 85791, Poland

    Ryszard S. Choras

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© 2014 Springer International Publishing Switzerland

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Lech, P., Okarma, K., Tecław, M. (2014). A Fast Histogram Estimation Based on the Monte Carlo Method for Image Binarization. In: S. Choras, R. (eds) Image Processing and Communications Challenges 5. Advances in Intelligent Systems and Computing, vol 233. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01622-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-01622-1_9

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-01621-4

  • Online ISBN: 978-3-319-01622-1

  • eBook Packages: EngineeringEngineering (R0)

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