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Research of Subway Tunnel Crack Recognition Algorithm Based on Image Processing

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Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 287))

Abstract

The paper proposes a recognition algorithm based on image processing for tunnel crack by collecting the subway tunnel images and makes the tunnel surface cracks recognition and information extraction come true. Meanwhile, according to the extracted information of tunnel surface cracks, we can take some corresponding maintenance and repair measures to meet the need of quick and safe detection for cracks, which can ensure the safety of subway operation.

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References

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Acknowledgments

This research is supported by National Natural Science Foundation of China under Grant 61071076, Beijing Science and Technology Program under Grant Z121100007612003, and the Beijing Municipal Natural Science Foundation under Grant 4132057.

Author information

Authors and Affiliations

  1. School of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing, 100044, China

    Yangyang Zhao, Genying Wang & Yun Liu

Authors
  1. Yangyang Zhao
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  2. Genying Wang
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  3. Yun Liu
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Corresponding author

Correspondence to Yangyang Zhao .

Editor information

Editors and Affiliations

  1. Beijing Jiaotong University, Beijing, People's Republic of China

    Limin Jia

  2. Beijing Jiaotong University, Beijing, People's Republic of China

    Zhigang Liu

  3. Beijing Jiaotong University, Beijing, People's Republic of China

    Yong Qin

  4. China CNR Changchun Railway Vehicles Co., Ltd, Changchun, People's Republic of China

    Minghua Zhao

  5. Beijing Jiaotong University, Beijing, People's Republic of China

    Lijun Diao

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© 2014 Springer-Verlag Berlin Heidelberg

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Zhao, Y., Wang, G., Liu, Y. (2014). Research of Subway Tunnel Crack Recognition Algorithm Based on Image Processing. In: Jia, L., Liu, Z., Qin, Y., Zhao, M., Diao, L. (eds) Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume I. Lecture Notes in Electrical Engineering, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53778-3_27

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  • DOI: https://doi.org/10.1007/978-3-642-53778-3_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53777-6

  • Online ISBN: 978-3-642-53778-3

  • eBook Packages: EngineeringEngineering (R0)

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