DocumentCode :
1955578
Title :
Application Research of Computer Vision in the Auto-Calibration of Dial Gauges
Author :
Feng, Hai-ping ; Zhao, Jun
Author_Institution :
Coll. of Metrol. Technol. & Eng., China JiLiang Univ., Hangzhou
Volume :
2
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
845
Lastpage :
848
Abstract :
For the characteristics of dial board images, this paper proposes an accomplishment method of auto-calibration system of dial gauges. Uses computer vision technology into the calibration of dial gauges, substitutes the traditional calibration method which need human, and accomplishes automatic dial gauge calibration. The dial gauge calibration process consists of three parts: image pre-processing, scale marks recognition, and the pointer indication interpretation. This paper uses image subtraction method, dynamic threshold segmentation method to process in image pre-processing part. In the other two parts, this paper proposes a new method named as region-segmentation, to partition the dial image, only process the useful blocks of dial image, and not process the other areas. This method reduces the computation amount greatly, and improves the processing speed effectively. Then, uses least squares fitting lines method and central projection method to compute scale marks data and detected pointer value. Prove through experiments, this paper accomplishes an intelligent and rapidly dial gauge calibration system.
Keywords :
calibration; computer vision; computerised instrumentation; gauges; image recognition; image segmentation; automatic dial gauge calibration; central projection method; computer vision; dynamic threshold segmentation method; image preprocessing; image subtraction method; least squares fitting lines method; pointer indication interpretation; scale marks recognition; Application software; Calibration; Computer errors; Computer vision; Educational institutions; Humans; Image recognition; Image segmentation; Motion control; Pixel; auto-calibration.; computer vision; dial gauges; region-segmentation method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.350
Filename :
4722181
Link To Document :
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