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Automated design of vision systems

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Recent Issues in Pattern Analysis and Recognition

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 399))

Abstract

This work describes an approach to the problem of automating the design of machine vision systems. Starting from knowledge about the domain of application, available image processing algorithms and hardware components, the proposed system would produce an optimal hardware configuration and an overall computing strategy, both tailored to fit the characteristics of the requested application. Implementation of a rule-based expert system is under development.

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5. References

  1. T.Matsuyama, Expert Systems for Image Processing — Knowledge-Based Composition of Image Analysis Processes, IEEE 1988, pp.125–133.

    Google Scholar 

  2. G.Winkler, A Pragmatic Approach for determining the Suitability of Special Vision Systems Architectures for Special Industrial Applications, Fraunhofer-Institut für Informations und Datenverarbeitung Technical Report X4-445.

    Google Scholar 

  3. V.Cantoni, U.Cei, M.Ferretti and L.Lombardi, Towards an Automatic Costruction of Object Recognition Strategies, 9th International Conference on Pattern Recognition, Rome November 14–17 1988, pp. 371–374.

    Google Scholar 

  4. R.S.Michalski, A Theory and Methodology of Inductive Learning, in "Machine Learning", edited by R.S.Michalski, J.G.Carbonell and T.M.Mitchell, Springer-Verlag 1984, pp. 83–129.

    Google Scholar 

  5. D.H. Ballard, Generalizing the Hough Transform to Detect Arbitrary Shapes, Pattern Recognition, vol.13, N.2, 1981, pp. 111–122.

    Article  Google Scholar 

  6. D.H.Ballard, C.M.Brown, "Computer Vision", Prentice-Hall 1982.

    Google Scholar 

  7. R.M. Haralick, Statistical and Structural Approaches to texture, Proc. IEEE, vol.67, May 1979, pp.786–801.

    Google Scholar 

  8. T.Phillips, A.Rosenfeld and A.C.Sher, O(log n) Bimodality Analysis, Technical Report, University of Maryland, August 1987.

    Google Scholar 

  9. A.P.Reeves, The General Theory of Moments and the Parallel Implementation of Moment Operations, Purdue Technical Report TR-EE 81-37, 1981.

    Google Scholar 

  10. V.Cantoni, L.Carrioli, M.Ferretti, L.Lombardi, K.Matthews, Object Recognition in Multi-Resolution Systems, NATO ARW on "Real Time Object Measurement and Classification", A.K.Jain ed., Springer-Verlag, pp. 359–374, 1987.

    Google Scholar 

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Virginio Cantoni Reiner Creutzburg Stefano Levialdi G. Wolf

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© 1989 Springer-Verlag Berlin Heidelberg

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Cei, U., Lombardi, L. (1989). Automated design of vision systems. In: Cantoni, V., Creutzburg, R., Levialdi, S., Wolf, G. (eds) Recent Issues in Pattern Analysis and Recognition. Lecture Notes in Computer Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51815-0_59

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  • DOI: https://doi.org/10.1007/3-540-51815-0_59

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51815-0

  • Online ISBN: 978-3-540-46815-8

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