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Laser stripe extraction in additive manufacturing based on spatiotemporal noise regularization

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Abstract

The optical three-dimensional (3D) measurement technique based on the laser stripe has become increasingly important in additive manufacturing, which is necessary to extract the laser stripe accurately. In welding, the wrong laser stripe centers due to the high-brightness noise are usually extracted, which causes serious measurement error. In this paper, a laser stripe extraction algorithm based on spatiotemporal noise regularization (SNR) is proposed, which calculates the noise weight of each pixel in time dimension and suppresses the high-brightness noise in space dimension. The proposed algorithm contains four novel steps to achieve accurate and fast laser stripe extraction when the laser stripe is influenced by the high-brightness noise. Meanwhile, an online welding 3D measurement system is constructed based on double-line structured light, which can achieve online 3D measurement in additive manufacturing. Experimental analysis verifies its effectiveness and accurateness.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant number 61727802.

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Authors and Affiliations

  1. Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China

    Haotian Yu, Chongchong Peng, Zhuang Zhao & Yi Zhang

  2. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, No. 200 Xiaolingwei Street, Nanjing, 210094, Jiangsu Province, China

    Haotian Yu, Chongchong Peng, Zhuang Zhao & Yi Zhang

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  1. Haotian Yu
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  2. Chongchong Peng
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  4. Yi Zhang
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Correspondence to Yi Zhang.

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Yu, H., Peng, C., Zhao, Z. et al. Laser stripe extraction in additive manufacturing based on spatiotemporal noise regularization. Opt Rev 27, 521–529 (2020). https://doi.org/10.1007/s10043-020-00623-7

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