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3D printer vision calibration system based on embedding Sobel bilateral filter in least squares filtering algorithm

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Abstract

To address the calibration challenge in 3D printing technology, an improved calibration system has been developed, which facilitates the widespread use of bionic stents. Crucially, this system only requires a reference object with known dimensions for automatic calibration. To acquire the required compensation coefficients, various operations are conducted, including printing cell scaffolds as test cube, capturing images, preprocessing images, detecting contours, and classifying with the K-means algorithm. During the image preprocessing stage, an Embedding Bilateral Filter is employed within a least squares filtering-based method, combined with the Sobel operator, to increase the accuracy in obtaining pixel gradient values. Finally, the capability of the developed printer calibration system is demonstrated by a series of print tests; compared to caliper measurements, this approach considerably reduces the time taken, improving calibration efficiency by 98.51% and enhancing accuracy by 9.62%. This development has the potential to enhance the precision and reliability of 3D printing, which is crucial when it comes to producing medical devices and implants. Overall, this is a promising advancement that could have far-reaching implications for the medical industry.

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Funding

This work was supported by the National Natural Science Foundation of China [Nos. 51975400, 62031022, 82073470, 82273554]; Shanxi Provincial Key Medical Scientific Research Project [2020XM06]; and Shanxi Provincial Basic Research Project [202103021221006]; and the Key Research and Development Program of Shanxi Province [202102030201012].

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Authors and Affiliations

  1. Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, China

    Rihui Kang, Luxiao Sang, Kun Yang, Runfang Hao, Hulin Zhang & Shengbo Sang

  2. Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science, Taiyuan, China

    Rihui Kang

  3. Interactive Media Laboratory, Communication University of Shanxi, Jinzhong, China

    Le Yang

  4. Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education, Taiyuan University of Technology, Taiyuan, China

    Shengbo Sang

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  1. Rihui Kang
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  2. Luxiao Sang
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  3. Le Yang
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  5. Runfang Hao
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Correspondence to Shengbo Sang.

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Kang, R., Sang, L., Yang, L. et al. 3D printer vision calibration system based on embedding Sobel bilateral filter in least squares filtering algorithm. Vis Comput 40, 6599–6613 (2024). https://doi.org/10.1007/s00371-023-03187-0

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