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Design of Industrial Machine Vision Systems

  • Chapter
Applied Image Processing

Part of the book series: Macmillan New Electronics Series

Abstract

There seems to be little disagreement that vision is the most valuable sense that an automaton can possess. The information that it conveys is extremely rich. It can provide absolute and relative position, range, scale, orientation etc., and all this is achieved without the need for physical contact.

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References

  1. D. Marr, Vision, W. H. Freeman, New York, 1982.

    Google Scholar 

  2. J. Hollingum, Machine Vision: The Eyes of Automation, IFS (Publications), Bedford, 1984.

    Google Scholar 

  3. A. Owen, Assembly with Robots, Chapter 10, p. 137, Kogan Page, London, 1985.

    Chapter  Google Scholar 

  4. B. Batchelor, ‘Enthusiasts debate illumination and optics at US workshop’, Sensor Review, July 1982, pp. 157–159.

    Google Scholar 

  5. R. B. Kelley, J. R. Birk et al., ‘A robot system which acquires cylindrical workpieces from bins’, IEEE Transactions on Systems, Man and Cybernetics, SMC-12(2), pp. 204–213, March/April 1982.

    Article  Google Scholar 

  6. P. Checkland, Systems Thinking, Systems Practice, Wiley, Chichester, 1981.

    Google Scholar 

  7. D. Koenig, ‘The boards are back in town’, Image Processing, 3(3), pp. 18–36, July/August 1991.

    Google Scholar 

  8. A. S. Kondoleon, Application of technology-economic model of assembly techniques to programmable assembly machine configura-tion, Masters Thesis, MIT, Cambridge, Massachusetts, 1976.

    Google Scholar 

  9. J. Bessant and W. Heywood, ‘The introduction of flexible manufactur-ing systems as an example of computer integrated manufacturing’, Innovation Research Group Occasional Paper No. 1, Fig. 5, p. 33, Brighton Polytechnic Dept of Business Management, 1985.

    Google Scholar 

  10. Ingersoll Engineers, Industrial Robots, Appendix A, p. 2, Dept of Industry/National Engineering Laboratories, Glasgow, 1980.

    Google Scholar 

  11. J. D. Todd, ‘Advanced vision systems for computer-integrated manufacture: Part II’, Computer-Integrated Manufacturing Systems, 1(4), pp. 235–246, Butterworth, London, 1988.

    Google Scholar 

  12. H. Geisselmann et al., ‘Vision systems in industry: application examples’, Robotics, 2, pp. 19–30, Elsevier (North-Holland), Amster-dam, 1986.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, University of Brighton, UK

    G. J. Awcock & R. Thomas

Authors
  1. G. J. Awcock
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  2. R. Thomas
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Copyright information

© 1995 G.J. Awcock and R. Thomas

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Awcock, G.J., Thomas, R. (1995). Design of Industrial Machine Vision Systems. In: Applied Image Processing. Macmillan New Electronics Series. Palgrave, London. https://doi.org/10.1007/978-1-349-13049-8_1

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  • DOI: https://doi.org/10.1007/978-1-349-13049-8_1

  • Publisher Name: Palgrave, London

  • Print ISBN: 978-0-333-58242-8

  • Online ISBN: 978-1-349-13049-8

  • eBook Packages: EngineeringEngineering (R0)

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