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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shutao Zhao Baoshu Li Xiufang Jia Jinsha Yuan Guoyi Yue |
| Copyright Year | 2004 |
| Description | Author affiliation: North China Electr. Power Univ., Baoding, China (Shutao Zhao; Baoshu Li; Xiufang Jia; Jinsha Yuan; Guoyi Yue) |
| Abstract | Periodical calibration is the important method for making instruments in good condition. In this paper, a new measurement instruments calibration method is introduced, which adapts a novel scheme following the techniques of the computer vision discrimination, incorporate human's ability of visual and apprehensive models, various meter calibration can be optimized automatically. The central idea of the proposed method is to capture the measuring instrument images in realtime when the standard source outputting analog, the location of needle and dial can be ascertained using computer image recognition, and then the computer control the analog to the next instrument scale value automatically, up to the full-scale. In the meter calibration process, the needle localization can be successfully retrieved in every output analog value with complex needle movement of the whole course, and calibration results are given automatically according to the measure errors. |
| Starting Page | 1356 |
| Ending Page | 1359 |
| File Size | 795687 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780386108 |
| DOI | 10.1109/ICPST.2004.1460212 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-11-21 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization methods Calibration Instruments Needles Analog computers Computer vision Measurement standards Image recognition Centralized control Automatic control |
| Content Type | Text |
| Resource Type | Article |
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