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27 November 2018 Liquid-level measurement system based on second-confirm recognition algorithm
Chengtao Cai, Haiyang Meng, Renjie Qiao, Qidan Zhu
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Journal of Electronic Imaging, Vol. 27, Issue 6, 063009 (November 2018). https://doi.org/10.1117/1.JEI.27.6.063009
Abstract
We present a liquid-level measurement system based on second-confirm recognition algorithm. Compared with the traditional methods of the liquid-level measurement system, which has low accuracy, slow measurement speed, and limited range of measurements, this system can accurately and quickly measure the liquid level. Moreover, it can automatically complete the measurement of the liquid-level line position. The main component of the system includes a vision detection system and a tracking control system. The vision detection system mainly includes image preprocessing, numeral recognition, and liquid-level line recognition. Among the vision detection system, numeral recognition is the key task. Therefore, we propose a numeral recognition algorithm that employs a second-confirm algorithm to recognize numerals. The algorithm first utilizes template matching to find one numeral from the image. Afterward, we can divide the numeral image out of the rule image. This can greatly optimize the issues of time-consumption. The numerals can be segmented from the numeral image when the numeral image is obtained. After the numerals are captured, the numerals and template image difference is computed to complete numeral recognition. In addition, tracking control system tracks the liquid line in real time through the level value feedback by the vision system, which calculates the position of the liquid level in the image and feeds back the level value to the tracking control system. After experimental verification, the system can meet the expected requirements of liquid-level measurement.
© 2018 SPIE and IS&T 1017-9909/2018/$25.00 © 2018 SPIE and IS&T
Citation Download Citation
Chengtao Cai, Haiyang Meng, Renjie Qiao, and Qidan Zhu "Liquid-level measurement system based on second-confirm recognition algorithm," Journal of Electronic Imaging 27(6), 063009 (27 November 2018). https://doi.org/10.1117/1.JEI.27.6.063009
Received: 2 August 2018; Accepted: 1 November 2018; Published: 27 November 2018
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KEYWORDS
Liquids
Detection and tracking algorithms
Image segmentation
Control systems
Image processing algorithms and systems
Cameras
Ultrasonics
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