Paper
27 March 1995 Machine vision for automatic calibration of analog display instruments
Robert Sablatnig, C. Hansen
Author Affiliations +
Proceedings Volume 2423, Machine Vision Applications in Industrial Inspection III; (1995) https://doi.org/10.1117/12.205522
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
This paper presents a general process for an automatic reading of analog instruments. The calibration of analog watermeters serves for a demonstration of this algorithm. Reading a measuring instrument means detecting the position of scales and pointers in the intensity image in order to determine the value displayed by the measuring instrument. The reading process involves the detection of its boundaries, scales, pointers and lettering elements by using pattern recognition algorithms and a-priori information about the geometry and the elements of the meter. First, a validation for the correct type has to be done by checking the actual, detected elements with the elements defined in the type-description. Following the determination of the indicated measurement value, the intensity image of the watermeter is compressed and stored to ensure a given quality standard by protocolling each measurement step. The calibration process consists of five reading phases. A series of watermeters of the same type is calibrated in one run with water quality measurement. The outlined automated approach to the problem is faster, more reliable, stable and cheaper than the manual reading and checking of the meters performed now. Results concerning time, accuracy and reliability are given at the end of the paper.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Sablatnig and C. Hansen "Machine vision for automatic calibration of analog display instruments", Proc. SPIE 2423, Machine Vision Applications in Industrial Inspection III, (27 March 1995); https://doi.org/10.1117/12.205522
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Cited by 5 scholarly publications.
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KEYWORDS
Calibration

Image processing

Image compression

Image quality

Analog electronics

Detection and tracking algorithms

Image analysis

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