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A Detection Framework for Weld Seam Profiles Based on Visual Saliency

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Robotic Welding, Intelligence and Automation (RWIA 2014)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 363))

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Abstract

To guide the accurate shift of welding robots in welding processes in real time, a newly designed visual sensor based on structure light is positioned on the torch in the robotic welding system. Through the sensor, one weld seam image includes the information of weld pools, laser stripe as well as the strong arc glare simultaneously. In order to accomplish the guiding task, a novel framework based on visual saliency is presented to detect the weld seam profile. Considerable image-processing experiments demonstrate the proposed framework is effective even in the background of lots of disturbances of fume, spatter and arc glare.

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Acknowledgement

This work is supported by the National Natural Science Foundation of China under the Grant No. 61374071, 61305050, the NDRC of China, under the Grant No. HT[2012] 2144, and the National Natural Science Foundation of Jiangsu Province (BK2012236).

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Authors and Affiliations

  1. School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Yin-Shui He, Yu-Xi Chen, Di Wu, Yi-Ming Huang & Shan-Ben Chen

  2. School of Environment and Chemical Engineering, Nanchang University, Nanchang, 330031, China

    Yin-Shui He

  3. Jiangsu Automation Research Institute, Jiangsu, 222006, China

    Yu Han

Authors
  1. Yin-Shui He
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  2. Yu-Xi Chen
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  3. Di Wu
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  4. Yi-Ming Huang
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  5. Shan-Ben Chen
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  6. Yu Han
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Corresponding author

Correspondence to Shan-Ben Chen .

Editor information

Editors and Affiliations

  1. Washington University, St. Louis, Missouri, USA

    Tzyh-Jong Tarn

  2. School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shan-Ben Chen

  3. Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand

    Xiao-Qi Chen

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© 2015 Springer International Publishing Switzerland

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He, YS., Chen, YX., Wu, D., Huang, YM., Chen, SB., Han, Y. (2015). A Detection Framework for Weld Seam Profiles Based on Visual Saliency. In: Tarn, TJ., Chen, SB., Chen, XQ. (eds) Robotic Welding, Intelligence and Automation. RWIA 2014. Advances in Intelligent Systems and Computing, vol 363. Springer, Cham. https://doi.org/10.1007/978-3-319-18997-0_27

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  • DOI: https://doi.org/10.1007/978-3-319-18997-0_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18996-3

  • Online ISBN: 978-3-319-18997-0

  • eBook Packages: EngineeringEngineering (R0)

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