• DocumentCode
    2066687
  • Title

    Shape understanding: knowledge generation and learning

  • Author

    Les, Zbigniew ; Tadeusiewicz, Ryszard ; Les, Magdalena

  • Author_Institution
    Univ. of Melbourne, Toorak, Vic., Australia
  • fYear
    2001
  • fDate
    18-21 Nov. 2001
  • Firstpage
    189
  • Lastpage
    195
  • Abstract
    Image analysis and recognition applied in medical engineering requires specific methods of shape analysis and representation that need to be learnt. In this paper the method of knowledge generation as a part of a shape understanding method is proposed. The knowledge generation method used in the system of shape understanding is related to hierarchically organised knowledge of the shape classes. The system of shape understanding that is able to perform different tasks of shape analysis and recognition, based on the ability of the system to understand the different concepts of shape at the different levels of cognition, is proposed. The system consists of different types of experts that perform different processing and reasoning tasks and is designed to perform the visual diagnosis in medical applications.
  • Keywords
    data mining; image recognition; image representation; medical image processing; image analysis; image recognition; knowledge discovery; knowledge generation; knowledge learning; medical engineering; shape representation; shape understanding; visual diagnosis; Biomedical engineering; Biomedical equipment; Biomedical imaging; Cognition; Image analysis; Image recognition; Medical diagnostic imaging; Medical services; Performance analysis; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001
  • Print_ISBN
    1-74052-061-0
  • Type

    conf

  • DOI
    10.1109/ANZIIS.2001.974074
  • Filename
    974074