CN115471845A - Converter station digital instrument identification method based on deep learning and OpenCV - Google Patents
Converter station digital instrument identification method based on deep learning and OpenCV Download PDFInfo
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- CN115471845A CN115471845A CN202211113841.4A CN202211113841A CN115471845A CN 115471845 A CN115471845 A CN 115471845A CN 202211113841 A CN202211113841 A CN 202211113841A CN 115471845 A CN115471845 A CN 115471845A
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/15—Cutting or merging image elements, e.g. region growing, watershed or clustering-based techniques
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G06V30/146—Aligning or centring of the image pick-up or image-field
- G06V30/1475—Inclination or skew detection or correction of characters or of image to be recognised
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/18—Extraction of features or characteristics of the image
- G06V30/1801—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes or intersections
- G06V30/18067—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes or intersections by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G—PHYSICS
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- G06V30/24—Character recognition characterised by the processing or recognition method
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Abstract
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Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN202211113841.4A CN115471845A (en) | 2022-09-14 | 2022-09-14 | Converter station digital instrument identification method based on deep learning and OpenCV |
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CN202211113841.4A CN115471845A (en) | 2022-09-14 | 2022-09-14 | Converter station digital instrument identification method based on deep learning and OpenCV |
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CN115471845A true CN115471845A (en) | 2022-12-13 |
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CN202211113841.4A Pending CN115471845A (en) | 2022-09-14 | 2022-09-14 | Converter station digital instrument identification method based on deep learning and OpenCV |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116645682A (en) * | 2023-07-24 | 2023-08-25 | 济南瑞泉电子有限公司 | Water meter dial number identification method and system |
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2022
- 2022-09-14 CN CN202211113841.4A patent/CN115471845A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116645682A (en) * | 2023-07-24 | 2023-08-25 | 济南瑞泉电子有限公司 | Water meter dial number identification method and system |
CN116645682B (en) * | 2023-07-24 | 2023-10-20 | 济南瑞泉电子有限公司 | Water meter dial number identification method and system |
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Effective date of registration: 20240507 Address after: 210096, No. four archway, Xuanwu District, Jiangsu, Nanjing 2 Applicant after: SOUTHEAST University Country or region after: China Applicant after: STATE GRID JIANGSU ELECTRIC POWER COMPANY Research Institute Address before: 210096, No. four archway, Xuanwu District, Jiangsu, Nanjing 2 Applicant before: SOUTHEAST University Country or region before: China Applicant before: NANJING ZHENGTU INFORMATION TECHNOLOGY Co.,Ltd. Applicant before: STATE GRID JIANGSU ELECTRIC POWER COMPANY Research Institute |