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International Conference on Image Processing and Communications

IP&C 2016: Image Processing and Communications Challenges 8 pp 128–135Cite as

The EOH Line Selector for Images with Downgraded Size for Mobile Robots Steering

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 525))

Abstract

This paper presents the idea of algorithm for detecting lines having a defined direction in digital images based on selected Region of Interest containing those lines. The proposed algorithm uses data reduction in order to simplify information processing. The goal of the algorithm is the reduction of data size based on simple random sampling method. The Edge Oriented Histogram algorithm is used to designate the ROI blocks with information of potential places in image containing lines oriented in defined direction. This approach is proposed for low-computational power systems, embedded systems or video based control of mobile robots based on image analysis. The nearly real-time algorithm has been tested on real corridor image data sets obtained from a high resolution camera. The practical test implementation as a part of mobile robot steering algorithm is presented.

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Author information

Authors and Affiliations

  1. Department of Signal Processing and Multimedia Engineering, West Pomeranian University of Technology, Sikorskiego 37, 70–313, Szczecin, Poland

    Piotr Lech & Jarosław Fastowicz

Authors
  1. Piotr Lech
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  2. Jarosław Fastowicz
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Corresponding author

Correspondence to Piotr Lech .

Editor information

Editors and Affiliations

  1. Institute of Telecommunications and Computer Sciences, UTP University of Science and Technology, Bydgoszcz, Poland

    Ryszard S. Choraś

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Lech, P., Fastowicz, J. (2017). The EOH Line Selector for Images with Downgraded Size for Mobile Robots Steering. In: Choraś, R. (eds) Image Processing and Communications Challenges 8. IP&C 2016. Advances in Intelligent Systems and Computing, vol 525. Springer, Cham. https://doi.org/10.1007/978-3-319-47274-4_15

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  • DOI: https://doi.org/10.1007/978-3-319-47274-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47273-7

  • Online ISBN: 978-3-319-47274-4

  • eBook Packages: EngineeringEngineering (R0)

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