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International Conference on Computational Science and Its Applications

ICCSA 2017: Computational Science and Its Applications – ICCSA 2017 pp 621–632Cite as

Real-Time Vision Based System for Measurement of the Oxyacetylene Welding Parameters

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10404))

Abstract

In the paper an original method of the oxyacetylene welding measurement and control is presented. The method is based on the computer processing of the flame images of the oxyacetylene torch. In this paper flame analysis is presented which is based on adaptive thresholding, statistical shape parameters computations, as well as color analysis of characteristic parts of a flame. The latter is done based on the proposed flame model. These parameters are then used as features in classification process. Thanks to this the proposed method is able to automatically determine in real-time parameters of a flame which can be used for automatic setup of the welding conditions.

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Acknowledgement

This work was supported by the National Science Centre, Poland, under the grant no. 2014/15/B/ST6/00609.

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Authors and Affiliations

  1. AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Bogusław Cyganek

  2. Oil and Gas Institute - National Research Institute, Ul. Lubicz 25A, 31-503, Kraków, Poland

    Maciej Basiura

Authors
  1. Bogusław Cyganek
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  2. Maciej Basiura
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Corresponding author

Correspondence to Bogusław Cyganek .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Cyganek, B., Basiura, M. (2017). Real-Time Vision Based System for Measurement of the Oxyacetylene Welding Parameters. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10404. Springer, Cham. https://doi.org/10.1007/978-3-319-62392-4_45

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  • DOI: https://doi.org/10.1007/978-3-319-62392-4_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62391-7

  • Online ISBN: 978-3-319-62392-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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