Journal of Applied Science and Engineering

Published by Tamkang University Press

ESCI jase impact factor scopus logo open access rate of Scopus journal

Calculus accumulation-based method for extracting values of instrumentation image

 2026

 Volume 29, Issue 2

Dianming Wang1, Li Zhou1, Xiangxin Chen2, Mingxin Yi2, and Xiaoju Yin1

1New Energy College, Shenyang Institute of Engineering, Shenyang 110136, China

2Liaoning Oriental Power Generation Co., Ltd.

Received: March 18, 2025
Accepted: April 20, 2025
Publication Date: March 29, 2026

上傳圖片

Radon transform principle

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation:  BibTeX | https://doi.org/10.6180/jase.202602_29(2).0002  

Download PDF

The working conditions of outdoor pointer instruments are complex, and the dial is vulnerable to environmental pollution, so it is difficult to identify the readings online accurately. A double-pointer meter reading recognition scheme based on two-dimensional convolution and calculus accumulation is proposed. The weighted multi feature matching algorithm is used to accurately obtain the center coordinates of the rotating shaft to improve
the success rate of meter image recognition. The template filtering method eliminates cross-pointer interference. The polar coordinate transformation and calculus accumulation of the dial image are carried out to obtain the position of the target double-pointer and realize automatic reading, which is suitable for most instruments. Through the experimental comparison and analysis of outdoor dust occlusion, droplet occlusion, leaf occlusion, and different lighting conditions, the results show that the algorithm has good robustness, is almost not disturbed by the external environment, and has high recognition accuracy. The recognition success rate is more than 98 %, which provides a good reference for the unattended operation of pointer instruments.

Keywords: Dual needle gauge recognition; Two dimensions convolution; Calculus accumulation; Two-axis coordinate system

  1. [1] Y. Liu, F. Wang, and Y. Zhang, (2025) “Dual-plane Center-based Secondary Calibration Algorithm for Pointer-type Instruments” Instrument Technique and Sensor 000: 32–38, 50. DOI: 10.3390/j.issn.1002-1841.2025.01.006.
  2. [2] D. Peng, M. Huang, E. Qi, J. Hu, and X. Yang, (2023) “Pointer Gauge Recognition Method of Thermal Power Plant Based on Yolov4” Computer Applications and Software 040: 166–172, 222. DOI: 10.3969/j.issn.1000-386x.2023.06.026.
  3. [3] B. Cheng, W. Zhu, R. Cheng, and R. Huang, (2025) “Dual Pointer Industrial Meter Reading Recognition Based on Image Segmentation and Centre of Mass Fitting Method” Journal of Image and Signal Processing 014: 12–20. DOI: 10.12677/jisp.2025.141002.
  4. [4] Y. Mao, G. Yu, Q. Guo, and J. Liu, (2025) “Survey of Image Detection and Recognition Methods for Pointer Meter” Automation & Instrumentation 040: 6–9, 38. DOI: 10.19557/j.cnki.1001-9944.2025.02.002.
  5. [5] Q. Sun, S. Liu, D. Liu, X. Song, J. Liu, and R. Liu, (2025) “Few-shot pointer meters detection method based on meta-learning” Journal of Graphics 046: 81–93. DOI: 10.11196/JG.j.2095-302X.2025010081.
  6. [6] S. Li, L. Hou, and Y. Dong, (2024) “Automatic reading of pointer meters based on R-YOLOv7 and MIMO-CTFNet” Journal of Graphics 045: 1313–1327. DOI: 10.1196/JG.j.2095-302X.2024061313.
  7. [7] Y. Pan, Y. Yao, L. Zhang, and J. Gao, (2024) “Reading Recognition Method for Pointe Meters Based on Irregula Object Detection” Instrument Technique and Sensor 000: 100–105. DOI: 10.3969/j.issn.1002-1841.2024.06.017.
  8. [8] Z. Zuo, Y. Li, L. Chen, and X. Xie, (2024) “Method Research on Automatic Reading of Pointer Instrument Based on Machine Vision” Instrument Technique and Sensor 000: 37–40. DOI: 10.3969/j.issn.1002-1841.2024.06.007.
  9. [9] X. Li, R. Wang, S. Tang, and J. Ming, (2012) “Six-step pretreatment for image of pointer instrument” Electrical Measurement & Instrumentation 49(12): 28–31. DOI: 10.3969/j.issn.1001-1390.2012.12.006.
  10. [10] W. Song, W. Zhang, J. Zhang, Y. Wang, Q. Zhou, and W. Shi, (2014) “Instrument reading recognition method via the pointer region feature” Chinese Journal of Scientific Instrument 35(S2): 50–58. DOI: 10.19650/j.cnki.cjsi.2014.s2.008.
  11. [11] W. Zhang. “Research on instrument reading recognition algorithm for mobile robot outdoor inspection”. (math-esis). Harbin Institute of Technology, 2022. DOI: 10.27061/d.cnki.ghgdu.2022.004440.
  12. [12] Z. Xing. “Research on detection and identification method of pointer instrument in substation environment”. (math-esis). Anhui University of Science and Technology, 2021. DOI: 10.26918/d.cnki.ahngc.2021.000652.
  13. [13] Y. Sun, W. Li, Y. Zhao, L. Ren, and W. Jiang. “A method for image recognition of intersectant dual-pointer instrument”. In: XXIII IMEKO World Congress Proceedings: Measurement: sparking tomorrow s smart revolution. Yokohama, Japan. 30 August – 03 September 2021. 2021. DOI: 10.1016/j.measen.2021.100224.
  14. [14] Z. Li, Y. Sun, W. Hu, and X. Li, (2016) “A method for automatic recognition of dual pointer instrument reading based on digital image process technology” Journal of Yangtze University (Natural Science Edition) 13(31): 31–36+4. DOI: 10.16772/j.cnki.1673-1409.2016.31.007.
  15. [15] Z. Xu, H. Yang, L. Liu, D. Wang, and L. Yu, (2019) “Recognition scheme for point-er type temperature and humidity instrument based on image processing” Foreign Electronic Measurement Technology 38(07): 32–36. DOI: 10.19652/j.cnki.femt.190144.
  16. [16] L. Li, Y. Qiao, X. Huang, W. Xie, and W. Jiang, (2025) “Pointer meter reading recognition method based on improved U2-Net” Modern Electronics Technique 048: DOI: 10.16652/j.issn.1004-373x.2025.05.026.
  17. [17] Z. Ren and Z. Cao, (2024) “Pointer Meter Reading Algorithm Based on Improved GA-Otsu and RANSAC Regression” Machine Design & Research 040: DOI: 10.13952/j.cnki.jofmdr.2024.0080.
  18. [18] Y. Qian, Z. Wang, and T. Qiu, (2024) “Research status and development of pointer meter reading recognition” Electronic Measurement Technology 047: DOI: 10.19651/j.cnki.emt.2415631.
  19. [19] Z. Xia, W. Li, and Z. Tian, (2023) “Research on Automatic Reading Method of Pointer Meter Based on YOLOv5” Instrument Technique and Sensor 000: DOI: 10.3969/j.issn.1002-1841.2023.06.008.
  20. [20] M. Liu, B. Wang, P. Luo, F. Ma, Y. Zhang, and L. Wang, (2024) “Research on Pointer Meter Recognition Algorithm of Outdoor Inspection Robots” High Voltage Engineering 050: DOI: 10.13336/j.1003-6520.hve.20231408.
  21. [21] J. Zhang, L. Zeng, T. Liu, L. Deng, Z. Xu, and Z. Chen, (2023) “Automatic reading algorithm of pointer instrument based on machine vision” Instrument Technique and Sensor 000: DOI: 10.3969/j.issn.1002-1841.2023.11.010.