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Design and implementation of tunnel image mosaic system based on open CV

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International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

With the development of transportation, more and more tunnels have appeared. However, the monitoring system in the tunnel is not perfect. It is difficult to monitor the complete tunnel situation and increase the vehicle traffic risk index in the tunnel. Therefore, this paper proposes a tunnel image mosaic technology based on ORB algorithm. This technique splicing images captured by a scattering camera in a tunnel into a complete tunnel image. It also facilitates monitoring of conditions within the tunnel and reducing traffic accidents. The main processes include image preprocessing, image registration, feature point matching, and image fusion. Experiments show that this technology can be applied to the tunnel monitoring system and is widely recognized.

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Acknowledgements

The work of this paper is supported by the Key Science and Technology Project of Hebei Provincial Education Department (No.: ZD2017247), the project of Hebei Social Science Fund (No.: HB17JY069), the Nature Science Foundation of Hebei Province (No.: F2019210306) and Postgraduate Demonstration Course Project of Hebei Province (No.: KCJSX2018068).

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Authors and Affiliations

  1. China University of Mining and Technology (Beijing), Beijing, China

    Yanhui Xia & Baisheng Nie

  2. Shijiazhuang Tiedao University, Shijiazhuang, China

    Yanhui Xia, Yanan Zhang, Zhengyou Wang, Shibo Liu & Baoyue Zhang

  3. Hebei Academy of Sciences, Shijiazhuang, China

    Zhiqiang Wang

Authors
  1. Yanhui Xia
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  2. Baisheng Nie
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  3. Yanan Zhang
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  4. Zhengyou Wang
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  5. Zhiqiang Wang
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  6. Shibo Liu
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  7. Baoyue Zhang
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Correspondence to Yanan Zhang or Zhengyou Wang.

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Xia, Y., Nie, B., Zhang, Y. et al. Design and implementation of tunnel image mosaic system based on open CV. Int J Syst Assur Eng Manag 11, 792–797 (2020). https://doi.org/10.1007/s13198-019-00849-y

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  • DOI: https://doi.org/10.1007/s13198-019-00849-y

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