• DocumentCode
    517499
  • Title

    Extraction and Application of Palm-bone Based on the Improved Active Contour Model

  • Author

    Wang, Fushan

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Dezhou Univ. Dezhou, Dezhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    339
  • Lastpage
    342
  • Abstract
    The palm-bone lesion detection mainly deals with the problem of finding the position of lesion for doctors. The aim of this detection is to provide the accurate lesion data which is based on the characteristics of the edge of the hand bone of the patients to assit the patients in recovering in a short time. Since the palm-bone tends to injury, the patients will suffer a lot without the accurate diagnose and the prompt medical treatment. It has a serious influence on the patients´ health. The traditional palm-bone lesion detection contains 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 the edge of irregular shape. The traditional edge detection method is difficult to obtain the accurate edge of the bone. This paper provides an improved active contour model to detect the edge of the palm-bone and further extraction of the image of palm-bone.
  • Keywords
    bone; edge detection; feature extraction; medical image processing; patient rehabilitation; active contour model; edge detection; hand-wrist X-ray image; palm-bone lesion detection; patients recovery; Active contours; Bones; Data mining; Image edge detection; Injuries; Lesions; Medical treatment; X-ray detection; X-ray detectors; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Information Technology (MMIT), 2010 Second International Conference on
  • Conference_Location
    Kaifeng
  • Print_ISBN
    978-0-7695-4008-5
  • Electronic_ISBN
    978-1-4244-6602-3
  • Type

    conf

  • DOI
    10.1109/MMIT.2010.126
  • Filename
    5474292