• DocumentCode
    2927883
  • Title

    Evaluation of Sobel, Canny, Shen & Castan using sample line histogram method

  • Author

    Hassan, Mehdi ; Khalid, Noor Elaiza Abdul ; Ibrahim, Asmah ; Noor, Noorhayati Mohamed

  • Author_Institution
    Fac. of Ind. Inf. Technol., Univ. Industri Selangor, Bestari Jaya
  • Volume
    3
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper introduces a sample line histogram method (SLHM) in evaluating the accuracy in detecting bone edges. CR images of bone joints namely the knee and the elbow joints are used in this experiment. The purpose of the project is to identify the suitable method for bone cortical edge detection. The performance of three edge detection method: Sobel, Canny and Shen & Castan are compared. The resulting images are evaluated by visual inspection and SLHM.
  • Keywords
    bone; diagnostic radiography; edge detection; image sampling; medical image processing; smoothing methods; statistical analysis; CR bone joint image; Canny bone cortical edge detection; Shen-&-Castan bone cortical edge detection; Sobel bone cortical edge detection; bone fracture; conventional radiography; elbow joint; knee joint; sample line histogram method; smooth edge line image; Bones; Diagnostic radiography; Elbow; Filtering; Histograms; Image edge detection; Information technology; Inspection; Joints; Knee;
  • 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.2008.4632072
  • Filename
    4632072