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Coherent Architectures for Machine Vision

  • Conference paper
Real-Time Object Measurement and Classification

Part of the book series: NATO ASI Series ((NATO ASI F,volume 42))

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Abstract

The requirements for complete solutions to many machine vision problems are, unfortunately, diverse. At the lowest level of most problems, data is in the form of an image, i.e. a large two-dimensional array of data points whose significance resides in two properties — the density (sometimes colour) of the point and its relation to neighbouring points. Since the number of data points is invariably large, typically ranging from 256 × 256 to 4096 × 4096 elements, processing the data in a reasonable time requires a great deal of appropriately applied computing power.

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Author information

Authors and Affiliations

  1. Department of Physics and Astronomy, University College London, Gower Street, London, WC1E 6BT, UK

    T. J. Fountain

Authors
  1. T. J. Fountain
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Michigan State University, East Lansing, Michigan, 48824, USA

    Anil K. Jain

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© 1988 Springer-Verlag Berlin Heidelberg

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Fountain, T.J. (1988). Coherent Architectures for Machine Vision. In: Jain, A.K. (eds) Real-Time Object Measurement and Classification. NATO ASI Series, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83325-0_20

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  • DOI: https://doi.org/10.1007/978-3-642-83325-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83327-4

  • Online ISBN: 978-3-642-83325-0

  • eBook Packages: Springer Book Archive

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