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A method of smoothing laser spot deformation

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Abstract

Spot size is an important parameter in laser-quality detection. However, the size of the spot is easily affected by environmental factors such as light. In this paper, we propose improved Kalman filter algorithms (IKF) with prior information to reduce the negative influence of noise on the spot size. At the same time, the filtering process and the method of determining the initial filter value are given. Finally, the experimental results on the synthetic dataset and real-world dataset confirm that the proposed IKF performs better than the compared methods.

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Data availability

The data that support the findings of this study are available from the corresponding author, Lingjiang Li, upon reasonable request.

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Acknowledgements

This work was supported in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2022A1515010688 and in part by the Key-Area Research and Development Program of Guangdong Province under Grant 2019B010154002.

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Authors and Affiliations

  1. School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, 510006, China

    Hailong Yang, Zuyuan Yang, Lingjiang Li & Junhang Chen

  2. Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing (GDUT), Ministry of Education, Guangzhou, 510006, China

    Junhang Chen

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  1. Hailong Yang
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  2. Zuyuan Yang
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  3. Lingjiang Li
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  4. Junhang Chen
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Correspondence to Lingjiang Li.

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The authors declare that they have no conflict of interest. Hailong Yang declares that he has no conflict of interest. Zuyuan Yang declares that he has no conflict of interest. Lingjiang Li declares that he has no conflict of interest. Junhang Chen declares that he has no conflict of interest.

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Yang, H., Yang, Z., Li, L. et al. A method of smoothing laser spot deformation. Vis Comput 39, 6689–6697 (2023). https://doi.org/10.1007/s00371-022-02756-z

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