• DocumentCode
    2364859
  • Title

    Hardware compilation technology for embedded image processing

  • Author

    Sheen, T.M. ; Allen, A.R. ; Lawrence, A.E. ; Page, I.

  • Author_Institution
    Dept. of Eng., Aberdeen Univ., UK
  • fYear
    1998
  • fDate
    35838
  • Firstpage
    42614
  • Lastpage
    42619
  • Abstract
    There are an increasing number of applications of automated image analysis in which imaging is part of an instrumentation or process control system. A variety of industrial processes, including quality control and assembly, robotic, security and other applications make use of machine vision. Such embedded applications often require performance to be tuned in various ways to satisfy time constraints, which may vary through the lifetime of the application. There may, in addition, be a requirement to produce versions of an imaging product targetted at different classes of user, to satisfy various market niches, for example. It is therefore important to develop software tools which allow developers to relatively easily target a variety of computational engines. Possible target systems may include PC, dedicated microprocessor or digital signal processor, multiprocessors, or custom hardware. We report our experience in applying hardware compilation technology in an FPGA-based system to some typical image processing tasks
  • Keywords
    image processing; automated image analysis; custom hardware; embedded image processing; hardware compilation; image processing tasks; industrial processes;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    High Performance Architectures for Real-Time Image Processing (Ref. No. 1998/197), IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19980049
  • Filename
    667492