{"id":1711,"date":"2026-03-29T22:55:20","date_gmt":"2026-03-29T14:55:20","guid":{"rendered":"https:\/\/iweb20wp-b205b.url.tku.edu.tw\/jase\/?post_type=tkuisotope&p=1711"},"modified":"2026-05-21T23:23:13","modified_gmt":"2026-05-21T15:23:13","slug":"calculus-accumulation-based-method-for-extracting-values-of-instrumentation-image","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=calculus-accumulation-based-method-for-extracting-values-of-instrumentation-image","title":{"rendered":"Calculus accumulation-based method for extracting values of instrumentation image"},"content":{"rendered":"\n
\n
\n

<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

\n

<\/i> Volume 29, Issue 2<\/a><\/p>\n<\/div>\n\n\n\n

\n
\n
\n
\n

Dianming Wang1<\/sup><\/i><\/a>, Li Zhou1<\/sup>, Xiangxin Chen2<\/sup>, Mingxin Yi2<\/sup>, and Xiaoju Yin1<\/sup><\/p>\n\n\n\n

1<\/sup>New Energy College, Shenyang Institute of Engineering, Shenyang 110136, China<\/p>\n\n\n\n

2<\/sup>Liaoning Oriental Power Generation Co., Ltd.<\/p>\n<\/div>\n\n\n\n

\n

Received:\u00a0March 18, 2025
Accepted:\u00a0April 20, 2025
Publication Date:\u00a0March 29, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

\"\u4e0a\u50b3\u5716\u7247\"\n\n\n

Radon transform principle<\/p>\n<\/div>\n<\/div>\n\n\n\n

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

Download Citation:\u00a0 BibTeX <\/a>| https:\/\/doi.org\/10.6180\/jase.202602_29(2).0002<\/a>\u00a0\u00a0<\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

<\/div>\n\n\n\n

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.<\/p>\n\n\n\n

Keywords:\u00a0Dual needle gauge recognition; Two dimensions convolution; Calculus accumulation; Two-axis coordinate system<\/em><\/p>\n\n\n\n

<\/div>\n\n\n\n
\n
\n
\n
    \n
  1. [1] Y. Liu, F. Wang, and Y. Zhang, (2025) \u201cDual-plane Center-based Secondary Calibration Algorithm for Pointer-type Instruments\u201d Instrument Technique and Sensor 000: 32\u201338, 50. DOI: 10.3390\/j.issn.1002-1841.2025.01.006.<\/li>\n
  2. [2] D. Peng, M. Huang, E. Qi, J. Hu, and X. Yang, (2023) \u201cPointer Gauge Recognition Method of Thermal Power Plant Based on Yolov4\u201d Computer Applications and Software 040: 166\u2013172, 222. DOI: 10.3969\/j.issn.1000-386x.2023.06.026.<\/li>\n
  3. [3] B. Cheng, W. Zhu, R. Cheng, and R. Huang, (2025) \u201cDual Pointer Industrial Meter Reading Recognition Based on Image Segmentation and Centre of Mass Fitting Method\u201d Journal of Image and Signal Processing 014: 12\u201320. DOI: 10.12677\/jisp.2025.141002.<\/li>\n
  4. [4] Y. Mao, G. Yu, Q. Guo, and J. Liu, (2025) \u201cSurvey of Image Detection and Recognition Methods for Pointer Meter\u201d Automation & Instrumentation 040: 6\u20139, 38. DOI: 10.19557\/j.cnki.1001-9944.2025.02.002.<\/li>\n
  5. [5] Q. Sun, S. Liu, D. Liu, X. Song, J. Liu, and R. Liu, (2025) \u201cFew-shot pointer meters detection method based on meta-learning\u201d Journal of Graphics 046: 81\u201393. DOI: 10.11196\/JG.j.2095-302X.2025010081.<\/li>\n
  6. [6] S. Li, L. Hou, and Y. Dong, (2024) \u201cAutomatic reading of pointer meters based on R-YOLOv7 and MIMO-CTFNet\u201d Journal of Graphics 045: 1313\u20131327. DOI: 10.1196\/JG.j.2095-302X.2024061313.<\/li>\n
  7. [7] Y. Pan, Y. Yao, L. Zhang, and J. Gao, (2024) \u201cReading Recognition Method for Pointe Meters Based on Irregula Object Detection\u201d Instrument Technique and Sensor 000: 100\u2013105. DOI: 10.3969\/j.issn.1002-1841.2024.06.017.<\/li>\n
  8. [8] Z. Zuo, Y. Li, L. Chen, and X. Xie, (2024) \u201cMethod Research on Automatic Reading of Pointer Instrument Based on Machine Vision\u201d Instrument Technique and Sensor 000: 37\u201340. DOI: 10.3969\/j.issn.1002-1841.2024.06.007.<\/li>\n
  9. [9] X. Li, R. Wang, S. Tang, and J. Ming, (2012) \u201cSix-step pretreatment for image of pointer instrument\u201d Electrical Measurement & Instrumentation 49(12): 28\u201331. DOI: 10.3969\/j.issn.1001-1390.2012.12.006.<\/li>\n
  10. [10] W. Song, W. Zhang, J. Zhang, Y. Wang, Q. Zhou, and W. Shi, (2014) \u201cInstrument reading recognition method via the pointer region feature\u201d Chinese Journal of Scientific Instrument 35(S2): 50\u201358. DOI: 10.19650\/j.cnki.cjsi.2014.s2.008.<\/li>\n
  11. [11] W. Zhang. \u201cResearch on instrument reading recognition algorithm for mobile robot outdoor inspection\u201d. (math-esis). Harbin Institute of Technology, 2022. DOI: 10.27061\/d.cnki.ghgdu.2022.004440.<\/li>\n
  12. [12] Z. Xing. \u201cResearch on detection and identification method of pointer instrument in substation environment\u201d. (math-esis). Anhui University of Science and Technology, 2021. DOI: 10.26918\/d.cnki.ahngc.2021.000652.<\/li>\n
  13. [13] Y. Sun, W. Li, Y. Zhao, L. Ren, and W. Jiang. \u201cA method for image recognition of intersectant dual-pointer instrument\u201d. 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.<\/li>\n
  14. [14] Z. Li, Y. Sun, W. Hu, and X. Li, (2016) \u201cA method for automatic recognition of dual pointer instrument reading based on digital image process technology\u201d Journal of Yangtze University (Natural Science Edition) 13(31): 31\u201336+4. DOI: 10.16772\/j.cnki.1673-1409.2016.31.007.<\/li>\n
  15. [15] Z. Xu, H. Yang, L. Liu, D. Wang, and L. Yu, (2019) \u201cRecognition scheme for point-er type temperature and humidity instrument based on image processing\u201d Foreign Electronic Measurement Technology 38(07): 32\u201336. DOI: 10.19652\/j.cnki.femt.190144.<\/li>\n
  16. [16] L. Li, Y. Qiao, X. Huang, W. Xie, and W. Jiang, (2025) \u201cPointer meter reading recognition method based on improved U2-Net\u201d Modern Electronics Technique 048: DOI: 10.16652\/j.issn.1004-373x.2025.05.026.<\/li>\n
  17. [17] Z. Ren and Z. Cao, (2024) \u201cPointer Meter Reading Algorithm Based on Improved GA-Otsu and RANSAC Regression\u201d Machine Design & Research 040: DOI: 10.13952\/j.cnki.jofmdr.2024.0080.<\/li>\n
  18. [18] Y. Qian, Z. Wang, and T. Qiu, (2024) \u201cResearch status and development of pointer meter reading recognition\u201d Electronic Measurement Technology 047: DOI: 10.19651\/j.cnki.emt.2415631.<\/li>\n
  19. [19] Z. Xia, W. Li, and Z. Tian, (2023) \u201cResearch on Automatic Reading Method of Pointer Meter Based on YOLOv5\u201d Instrument Technique and Sensor 000: DOI: 10.3969\/j.issn.1002-1841.2023.06.008.<\/li>\n
  20. [20] M. Liu, B. Wang, P. Luo, F. Ma, Y. Zhang, and L. Wang, (2024) \u201cResearch on Pointer Meter Recognition Algorithm of Outdoor Inspection Robots\u201d High Voltage Engineering 050: DOI: 10.13336\/j.1003-6520.hve.20231408.<\/li>\n
  21. [21] J. Zhang, L. Zeng, T. Liu, L. Deng, Z. Xu, and Z. Chen, (2023) \u201cAutomatic reading algorithm of pointer instrument based on machine vision\u201d Instrument Technique and Sensor 000: DOI: 10.3969\/j.issn.1002-1841.2023.11.010.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

    <\/p>\n","protected":false},"author":3,"template":"wp-custom-template-detail-4-aricles","meta":{"_uag_custom_page_level_css":""},"categories":[12,15,6,117],"tags":[146],"acf":[],"uagb_featured_image_src":[],"uagb_author_info":{"display_name":"\u6797\u923a\u6db5","author_link":"\/jase\/?author=3"},"uagb_comment_info":0,"uagb_excerpt":" 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:\u00a0 BibTeX | https:\/\/doi.org\/10.6180\/jase.202602_29(2).0002\u00a0\u00a0 Download PDF The working conditions of outdoor pointer instruments are complex, and the…","_links":{"self":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope\/1711"}],"collection":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope"}],"about":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/types\/tkuisotope"}],"author":[{"embeddable":true,"href":"\/jase\/index.php?rest_route=\/wp\/v2\/users\/3"}],"wp:attachment":[{"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1711"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1711"},{"taxonomy":"post_tag","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1711"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}