• DocumentCode
    476682
  • Title

    Rule Based Fuzzy(RBF) membership edge detection on hand phantom radiograph images

  • Author

    Khalid, Noor Elaiza Abdul ; Manaf, Mazani ; Aziz, Mohd Ezane ; Noor, Noorhayati Mohamed ; Zainal, Norsyuhaiza

  • Author_Institution
    Faculty of Information Technology and Quantitative Sciences, Faculty of Medical Sciences, Universiti Teknologi MARA Malaysia, University Science of Malaysia, Malaysia
  • Volume
    1
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The paper proposes to prove the application of an adapted Rule Based Fuzzy(RBF) image detection in detecting periosteal and endosteal edges of hand phantom radiograph. The experimental data consists of four sets of hand phantom radiographs. Only the metacarpal 2, 3 and 4 are considered. The Rule Based Fuzzy is slightly modified due to the characteristic of the hand phantom radiograph. Mean and median filters are used as preprocessing tools. The analysis of the edges is done subjectively and statistically. As a whole, the proposed algorithm managed to identify the relevant edges of the periosteal and endosteal.
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2008. ITSim 2008. International Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-2327-9
  • Electronic_ISBN
    978-1-4244-2328-6
  • Type

    conf

  • DOI
    10.1109/ITSIM.2008.4631580
  • Filename
    4631580
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=476682