• DocumentCode
    2306605
  • Title

    Contour Extraction of Hand-wrist Skeletal Based on Active Contour Model

  • Author

    Li, Haijun

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Dezhou Univ., Shandong, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    283
  • Lastpage
    286
  • Abstract
    At present, the active contour model is widely used in image segmentation. Because there are many problems in hand-wrist X-ray image such as the low contrast, unevenly lighting, by the edge of bone and muscle and soft tissue and so on, the edge of irregular shape, traditional edge detection method is difficult to obtain the accurate edge of the bone, the paper provides an improved outline of the activities of the division of law. Active contour model is used to detect the edge of the bone, and improved access to the desired results.
  • Keywords
    edge detection; feature extraction; medical image processing; active contour model; contour extraction; edge detection method; hand-wrist X-ray image; hand-wrist skeletal; image segmentation; Active contours; Biomedical imaging; Bones; Computer science; Image edge detection; Image segmentation; Shape; Software engineering; Wrist; X-ray imaging; Active Contour Model; Contour Extraction; Greedy Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2009. WCSE '09. WRI World Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3570-8
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.101
  • Filename
    5319663