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International Conference on Image Processing and Communications

IP&C 2017: Image Processing and Communications Challenges 9 pp 3–10Cite as

Binary Line Oriented Histogram

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 681))

Abstract

The paper focuses on the presentation of the Binary Line Oriented Histogram (BLOH) algorithm, originating from the Edge Oriented Histogram (EOH). In the case of thin single-pixel lines, a problem related to the interpretation of the EOH bins may occur which can be eliminated using the proposed approach. The main goal of the conducted experimental tests, using both synthetic and natural images, is determining the proper histogram with dominating single-pixel lines of the specified orientation to the horizontal axis. The results of our tests fully confirm the usefulness of the proposed BLOH algorithm.

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Notes

  1. 1.

    https://www.mathworks.com/matlabcentral/fileexchange/48200-ngunsu-matlab-eoh-sift.

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Author information

Authors and Affiliations

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

    Piotr Lech & Krzysztof Okarma

Authors
  1. Piotr Lech
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  2. Krzysztof Okarma
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Corresponding author

Correspondence to Piotr Lech .

Editor information

Editors and Affiliations

  1. University of Science and Technology, UTP, Bydgoszcz, Poland

    Michał Choraś

  2. University of Science and Technology, UTP, Bydgoszcz, Poland

    Ryszard S. Choraś

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© 2018 Springer International Publishing AG

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Cite this paper

Lech, P., Okarma, K. (2018). Binary Line Oriented Histogram. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 9. IP&C 2017. Advances in Intelligent Systems and Computing, vol 681. Springer, Cham. https://doi.org/10.1007/978-3-319-68720-9_1

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  • DOI: https://doi.org/10.1007/978-3-319-68720-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68719-3

  • Online ISBN: 978-3-319-68720-9

  • eBook Packages: EngineeringEngineering (R0)

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