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Robust discriminant correlation filter-based weld seam tracking system

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Abstract

In recent years, passive vision-based methods in the weld seam tracking system are becoming more and more popular due to their higher accuracy and robustness to various interferences. In this paper, we present a novel robust weld seam tracking system based on passive vision. A robust discriminative correlation filter is proposed to locate the seam accurately by using weld seam images and background images as positive and negative samples,respectively. Additionally, a new online updating filter strategy is proposed to reduce the effect of varying illumination or changing structure and appearance. The two-scale searching window mode and the fast Fourier transform are combined to increase the speed and precision of the weld seam tracking. The extensive experimental results indicate that the proposed method is simple and fast, and also, its accuracy is high in tracking weld seams. The proposed system has been applied successfully to industrial production lines.

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Authors and Affiliations

  1. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, People’s Republic of China

    Xinnian Wang & Baojun Li

  2. School of Physics and Electronic Technology, Liaoning Normal University, Dalian, Liaoning, People’s Republic of China

    Tao Zhang

Authors
  1. Xinnian Wang
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  2. Baojun Li
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  3. Tao Zhang
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Correspondence to Tao Zhang.

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Wang, X., Li, B. & Zhang, T. Robust discriminant correlation filter-based weld seam tracking system. Int J Adv Manuf Technol 98, 3029–3039 (2018). https://doi.org/10.1007/s00170-018-2254-9

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  • DOI: https://doi.org/10.1007/s00170-018-2254-9

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