A frame-based system for modelling and executing visual tasks

Peter W. Woods, David Pycock, Christopher J. Taylor

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper describes a framework for model representation and control intended as the basis of a computer vision system capable of undertaking arbitrary but well defined image interpretation tasks. An interrelated structure of models represents both the visual task and image content. The user defines this structure but not the internal details of models so non vision experts can program the system. The approach is illustrated by considering two examples, one in interpreting cell images and the other in industrial inspection. © 1989.
    Original languageEnglish
    Pages (from-to)102-108
    Number of pages6
    JournalImage and Vision Computing
    Volume7
    Issue number2
    Publication statusPublished - May 1989

    Keywords

    • chromosome classification
    • image interpretation

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