• DocumentCode
    1807628
  • Title

    A new adaptive morphological algorithm for contour extraction on ultrasound image

  • Author

    Li, Dandan ; Shen, Yi ; Liu, Zhiyan ; He, Ping

  • Author_Institution
    Dept. of Control Sci. & Eng., Harbin Inst. of Technol., China
  • Volume
    3
  • fYear
    2004
  • fDate
    18-20 May 2004
  • Firstpage
    2077
  • Abstract
    This paper describes a new adaptive algorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. Advantage of this algorithm is that its parameter can be adjusted adaptively to extract the best contour. The contour extraction is accomplished in two stages. The first stage employs fuzzy sets theory to enhance image. The second stage extracts the image contour adaptively and effectively employing morphological theory. The validity of the approach is demonstrated using ultrasound image.
  • Keywords
    biomedical ultrasonics; feature extraction; fuzzy set theory; image enhancement; mathematical morphology; medical image processing; 4-segment function; adaptive morphological algorithm; contour extraction; fuzzy sets theory; image contour; image enhancement; image quality; medical images; morphological image processing; ultrasound image; Biomedical imaging; Data mining; Electromagnetic interference; Gray-scale; Image processing; Information filtering; Information filters; Low pass filters; Speckle; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-8248-X
  • Type

    conf

  • DOI
    10.1109/IMTC.2004.1351498
  • Filename
    1351498