Calculus accumulation-based method for extracting values of instrumentation image
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Tamkang University Press
2025-06-01
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| Series: | Journal of Applied Science and Engineering |
| Subjects: | |
| Online Access: | http://jase.tku.edu.tw/articles/jase-202602-29-02-0002 |
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| _version_ | 1850164302344880128 |
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| author | Dianming Wang Li Zhou Xiangxin Chen Mingxin Yi Xiaoju Yin |
| author_facet | Dianming Wang Li Zhou Xiangxin Chen Mingxin Yi Xiaoju Yin |
| author_sort | Dianming Wang |
| collection | DOAJ |
| description | 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 multifeature 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. |
| format | Article |
| id | doaj-art-a87d72f57afe41ffaa48d905e3700429 |
| institution | OA Journals |
| issn | 2708-9967 2708-9975 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Tamkang University Press |
| record_format | Article |
| series | Journal of Applied Science and Engineering |
| spelling | doaj-art-a87d72f57afe41ffaa48d905e37004292025-08-20T02:22:02ZengTamkang University PressJournal of Applied Science and Engineering2708-99672708-99752025-06-0129225726510.6180/jase.202602_29(2).0002Calculus accumulation-based method for extracting values of instrumentation imageDianming Wang0Li Zhou1Xiangxin Chen2Mingxin Yi3Xiaoju Yin4New Energy College, Shenyang Institute of Engineering, Shenyang 110136, ChinaNew Energy College, Shenyang Institute of Engineering, Shenyang 110136, ChinaLiaoning Oriental Power Generation Co., Ltd.Liaoning Oriental Power Generation Co., Ltd.New Energy College, Shenyang Institute of Engineering, Shenyang 110136, ChinaThe 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 multifeature 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.http://jase.tku.edu.tw/articles/jase-202602-29-02-0002dual needle gauge recognitiontwo dimensions convolutioncalculus accumulationtwo-axis coordinate system |
| spellingShingle | Dianming Wang Li Zhou Xiangxin Chen Mingxin Yi Xiaoju Yin Calculus accumulation-based method for extracting values of instrumentation image Journal of Applied Science and Engineering dual needle gauge recognition two dimensions convolution calculus accumulation two-axis coordinate system |
| title | Calculus accumulation-based method for extracting values of instrumentation image |
| title_full | Calculus accumulation-based method for extracting values of instrumentation image |
| title_fullStr | Calculus accumulation-based method for extracting values of instrumentation image |
| title_full_unstemmed | Calculus accumulation-based method for extracting values of instrumentation image |
| title_short | Calculus accumulation-based method for extracting values of instrumentation image |
| title_sort | calculus accumulation based method for extracting values of instrumentation image |
| topic | dual needle gauge recognition two dimensions convolution calculus accumulation two-axis coordinate system |
| url | http://jase.tku.edu.tw/articles/jase-202602-29-02-0002 |
| work_keys_str_mv | AT dianmingwang calculusaccumulationbasedmethodforextractingvaluesofinstrumentationimage AT lizhou calculusaccumulationbasedmethodforextractingvaluesofinstrumentationimage AT xiangxinchen calculusaccumulationbasedmethodforextractingvaluesofinstrumentationimage AT mingxinyi calculusaccumulationbasedmethodforextractingvaluesofinstrumentationimage AT xiaojuyin calculusaccumulationbasedmethodforextractingvaluesofinstrumentationimage |