The histogram-enhanced Hough transform applied to automated readout of analogue gauge meters using digital image processing

• Autorzy: Pociecha D. , Żyłka P.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a computer vision technique developed for automated reading of analogue gauge meters. The system utilizes a mobile phone digital camera for image stream capturing and the Hough transform supplemented by multiply histogram analysis for locating a pointer position and parallax effect correction. The system is capable of working with minimal user supervision and its indicator position detection uncertainty is superior to that provided by a human eye. An attempt to use the algorithm implementation for semi-automatic calibration of an analogue voltmeter is also presented.

Słowa kluczowe

EN

metrology; computer vision; digital image processing

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2015
• Tom: Vol. 61, No. 11
• Strony: 507--511
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wzory

Twórcy

autor

Pociecha D.

• Department of Electrical Engineering Fundamentals, Wroclaw University of Technology, 27 Wybrzeże Wyspiańskiego, 50-370 Wrocław, Poland

autor

Żyłka P.

• Department of Electrical Engineering Fundamentals, Wroclaw University of Technology, 27 Wybrzeże Wyspiańskiego, 50-370 Wrocław, Poland

Bibliografia

• [1] Andria G., Cavone G., Fabbiano L., Giaquinto N., and M. Savin: Automatic Calibration System for Digital Instruments without built-in Communication Interface. XIX IMEKO World Congress Fundamental and Applied Metrology, September 6-11, 2009, Lisbon, Portugal.
• [2] Pociecha D. M.: Development of the automatic stand for the measurement devices calibration using advanced image processing, MSc dissertation, Wrocław University of Technology, 2014.
• [3] Alegria F. C., and Serra A. C.: Automatic Calibration of Analog and Digital Measuring Instruments Using Computer Vision, IEEE Trans. on Instrumentation and Measurements, vol. 49, no. 1, 2000.
• [4] de Lima D. L., Pereira G. A. S., de Vasconcelos F. H.: A Computer Vision System to Read Meter Displays. 16th IMEKO TC4 Symposium Exploring New Frontiers of Instrumentation and Methods for Electrical and Electronic Measurements, Sept. 22-24, 2008, Florence, Italy.
• [5] https://play.google.com/store/apps/details?id=com.pas.webcam, hyperlink valid on 12.10.2015.
• [6] http://opencv.org/, hyperlink valid on 12.10.2015.
• [7] http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html?highlight=adaptivethreshold, hyperlink valid on 12.10.2015.
• [8] Lisowski M.: Podstawy metrologii. Oficyna Wydawnicza Politechniki Wrocławskiej, 2011.
• [9] Taylor B. N., Kuyatt Ch. E.: Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results. NIST Technical Note 1297, United States Department of Commerce Technology Administration, National Institute of Standards and Technology, 1994.