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Real time image processing for fast seam tracking

  • Industrial Applications
  • Conference paper
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Computer Analysis of Images and Patterns (CAIP 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 719))

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Abstract

In this paper we present a real time image processing system for a fast, continuous measurement of three-dimensional (3-D) seam position. The seam position measurement applies active triangulation using structured light.

The hardware implementation of a Difference-of-Gaussians (DOG) filter is used for a robust 1-D edge detection. The DOG-filter provides substantial data reduction and avoids processing of 2-D images. Reduced data are processed by a digital signal processor. We have developed a seam location algorithm based mainly on an evaluation of vector dot products, thus utilizing the architecture of the signal processor in an efficient way. Finally results achieved with a demonstration setup are given.

This work was supported by the S.T.W. (Dutch Technology Foundation)

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References

  1. K. Araki et al. High speed and continuous 3-D measurement system. In 11th IAPR International Conference on Pattern Recognition, volume 4, pages 62–65, The Hague, August/September 1992.

    Google Scholar 

  2. D. Marr and E. Hildreth. Theory of edge detection. Proc.R.Soc.London, B 207:187–217, 1980.

    Google Scholar 

  3. P. Marton, B. Thiesse, and A. Ruel. Edge detection by difference of Gaussians. In O. D. Faugeras and R. Kelley, editors, Computer Vision for Robots, volume 595 of Proc. of the SPIE-The Int. Soc. for Optical Engineering, pages 318–327, 1985.

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  4. R. Niepold and G. Struck. Co-operation of a structured light sensor with an industrial robot for arc welding of thin sheet. In O. D. Faugeras and R. Kelley, editors, Computer Vision for Robots, volume 595 of Proc. of the SPIE-The Int. Soc. for Optical Engineering, pages 284–291, 1985.

    Google Scholar 

  5. R. G. van Vliet et al. Application of DOG filters in real time image processing. In J. J. Gerbrands et al., editors, Second Quinquennial Review 1986–1991. Dutch Society for Pattern Recognition & Image Processing, 1991.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Measurement and Control Section, Eindhoven University of Technology, P.O.Box 513, NL-5600, MB Eindhoven, The Netherlands

    Milan Hanajík & Ruud G. van Vliet

Authors
  1. Milan Hanajík
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  2. Ruud G. van Vliet
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Editor information

Dmitry Chetverikov Walter G. Kropatsch

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© 1993 Springer-Verlag Berlin Heidelberg

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Hanajík, M., van Vliet, R.G. (1993). Real time image processing for fast seam tracking. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_95

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  • DOI: https://doi.org/10.1007/3-540-57233-3_95

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57233-6

  • Online ISBN: 978-3-540-47980-2

  • eBook Packages: Springer Book Archive

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