• DocumentCode
    3365953
  • Title

    Knowledge-based system for medical image compression

  • Author

    Nooman, M. ; Mohamed, Abdalla S A ; Rasmy, M.E.

  • Author_Institution
    Dept. of Syst. & Biomed. Eng., Cairo Univ., Gize, Egypt
  • fYear
    1992
  • fDate
    14-17 Jun 1992
  • Firstpage
    442
  • Lastpage
    449
  • Abstract
    Presents a way of systemic knowledge modelling representing objective medical image knowledge and compression for picture archiving and communication. A novel encoder model is proposed such that high compression ratio and acceptable visual perception are achieved. The developed knowledge-base system is designed to deal with selecting the suitable structure for the encoder model such that the above criteria are realized
  • Keywords
    PACS; data compression; image coding; knowledge based systems; medical image processing; PACS; encoder model; knowledge-base system; medical image compression; objective medical image knowledge; picture archiving; picture communication; systemic knowledge modelling; visual perception; Biomedical engineering; Biomedical imaging; Image coding; Image generation; Image storage; Knowledge based systems; Quantization; Redundancy; Statistics; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 1992. Proceedings., Fifth Annual IEEE Symposium on
  • Conference_Location
    Durham, NC
  • Print_ISBN
    0-8186-2742-5
  • Type

    conf

  • DOI
    10.1109/CBMS.1992.244999
  • Filename
    244999