Skip to main content

Research on the Verification Method of Capillary Viscometer Based on Connected Domain

  • Conference paper
  • First Online:
Multimedia Technology and Enhanced Learning (ICMTEL 2023)

Abstract

In order to solve the problem that the dust in the insulation cabinet is mistakenly identified as the liquid level in the process of automatic verification of the capillary viscometer, this paper studied the verification method of the capillary viscometer based on connected domain. On the basis of the common automatic verification system of capillary viscometer based on computer vision, the dust recognition method based on connected domain is added. Industrial cameras are used to acquire viscometer video images in real-time. In order to make the images clearer and improve the processing speed of the images, the following preprocessing is carried out on the acquired images first, including the ROI region selection, frame difference method to capture moving targets, binarization, corrosion, and expansion. Then, the preprocessed image is marked with connected domain. The parameter difference of the connected domain combining liquid level and dust, the problem of misidentified dust as liquid level is solved. The experimental results show that the time repeatability and constant reproducibility of the verification results of the proposed method are better than those of the ordinary verification method based on computer vision, which reduces the probability of misidentified dust as the liquid level and improves the accuracy and efficiency of the verification of capillary viscometer.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Akbay, C., Koçak, O.: Vibrational viscosimeter design for biomedical purposes. In: 2018 Medical Technologies National Congress (TIPTEKNO), pp. 1–4. IEEE (2018)

    Google Scholar 

  2. Kang, D., Wang, W., Lee, J., et al.: Measurement of viscosity of unadulterated human whole blood using a capillary pressure-driven viscometer. In: 10th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, pp. 1–4. IEEE (2015)

    Google Scholar 

  3. Wang, H., Zhang, K., Xun, Q., et al.: Ubbelohde viscometer verification method and system based on computer vision. In: 2021 China Automation Congress (CAC), pp. 5501–5506. IEEE (2021)

    Google Scholar 

  4. Husein, A.M., Halim, D., Leo, R.: Motion detect application with frame difference method on a surveillance camera. J. Phys. Conf. Ser. 1230(1), 012017 (2019)

    Google Scholar 

  5. Huiying, D., Xuejing, Z.: Detection and removal of rain and snow from videos based on frame difference method. In: The 27th Chinese Control and Decision Conference (2015 CCDC), pp. 5139–5143. IEEE (2015)

    Google Scholar 

  6. Haque, M., Afsha, S., Ovi, T.B., et al.: Improving automatic sign language translation with image binarisation and deep learning. In: 2021 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 1–5. IEEE (2021)

    Google Scholar 

  7. Bipin Nair, B.J., Unni Govind, S., Nihad Abdulla, V.A., Akhil, A.: A novel binarization method to remove verdigris from ancient metal image. In: 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 884–888 (2021). IEEE

    Google Scholar 

Download references

Acknowledgements

This paper is supported by the Shandong Key Technology R&D Program 2019JZZY021005, Natural Science Foundation of Shandong ZR2020MF067, and Natural Science Foundation of Shandong Province ZR2021MF074.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qinjun Zhao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jing, R. et al. (2024). Research on the Verification Method of Capillary Viscometer Based on Connected Domain. In: Wang, B., Hu, Z., Jiang, X., Zhang, YD. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 535. Springer, Cham. https://doi.org/10.1007/978-3-031-50580-5_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-50580-5_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50579-9

  • Online ISBN: 978-3-031-50580-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics