Skip to main content
Springer Nature Link
Log in

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

  • Conference paper
Image Processing and Communications Challenges 5

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Okarma, K., Lech, P.: A statistical reduced-reference approach to digital image quality assessment. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds.) ICCVG 2008. LNCS, vol. 5337, pp. 43–54. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  2. Okarma, K., Lech, P.: A fast image analysis technique for the line tracking robots. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS (LNAI), vol. 6114, pp. 329–336. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  3. Okarma, K., Lech, P.: Monte Carlo based algorithm for fast preliminary video analysis. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2008, Part I. LNCS, vol. 5101, pp. 790–799. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  4. Lima, J.B., Campello de Souza, R.M.: Histogram uniformization for digital image encryption. In: Proc. 25th SIBGRAPI Conf. Graphics, Patterns and Images, pp. 55–62 (2012)

    Google Scholar 

  5. Imamura, K., Kuroda, H., Fujimura, M.: Image content detection method using correlation coefficient between pixel value histograms. In: Kim, T.-H., Adeli, H., Ramos, C., Kang, B.-H. (eds.) SIP 2011. CCIS, vol. 260, pp. 1–9. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  6. Forczmański, P., Kukharev, G., Shchegoleva, N.: An algorithm of face recognition under difficult lighting conditions. Electrical Review 88(10b), 201–204 (2012)

    Google Scholar 

  7. Otsu, A.: Threshold selection method from gray-level histograms. IEEE Trans. Systems, Man, and Cybernetics 9(1), 62–66 (1979)

    Article  MathSciNet  Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Krzysztof Okarma
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mateusz Tecław
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

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

Download citation

  • 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)

Publish with us

Policies and ethics