
Research Article
Research on the Verification Method of Capillary Viscometer Based on Connected Domain
@INPROCEEDINGS{10.1007/978-3-031-50580-5_24, author={Rongyao Jing and Kun Zhang and Qinjun Zhao and Tao Shen and Kehua Du and Lei Zhao and Shijian Hu}, title={Research on the Verification Method of Capillary Viscometer Based on Connected Domain}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part IV}, proceedings_a={ICMTEL PART 4}, year={2024}, month={2}, keywords={Connected domain Liquid level Dust Capillary viscometer Verification}, doi={10.1007/978-3-031-50580-5_24} }
- Rongyao Jing
Kun Zhang
Qinjun Zhao
Tao Shen
Kehua Du
Lei Zhao
Shijian Hu
Year: 2024
Research on the Verification Method of Capillary Viscometer Based on Connected Domain
ICMTEL PART 4
Springer
DOI: 10.1007/978-3-031-50580-5_24
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.