• DocumentCode
    3094628
  • Title

    Knowledge-based approaches to practical image processing

  • Author

    Ejiri, Masakazu

  • Author_Institution
    Hitachi Ltd., Tokyo, Japan
  • fYear
    1989
  • fDate
    10-12 Apr 1989
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Recent practical approaches to knowledge-based image processing are discussed. Three application areas are considered: document understanding, drawing understanding and industrial machine vision. The authors indicate that, in the field of document understanding and drawing understanding, the capability of real-time processing is not generally a critical problem. Therefore, a complicated systematized inference mechanism can be utilized for knowledge-based processing. However, in the industrial machine vision field, real-time processing is essential. As knowledge-based processing usually poses a great problem in its processing speed, it must be executed in a highly simplified manner
  • Keywords
    computerised picture processing; knowledge based systems; document understanding; drawing understanding; industrial machine vision; knowledge-based image processing; real-time processing; systematized inference mechanism; Character recognition; Data analysis; Engineering drawings; Humans; Image analysis; Image converters; Image processing; Image recognition; Pattern analysis; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Applications of Machine Intelligence and Vision, 1989., International Workshop on
  • Conference_Location
    Tokyo
  • Type

    conf

  • DOI
    10.1109/MIV.1989.40513
  • Filename
    40513