• DocumentCode
    1453056
  • Title

    Genetic approach to select wavelet features for contour extraction in medical ultrasonic imaging

  • Author

    Lee, Jiann-Der

  • Author_Institution
    Dept. of Electr. Eng., Chung Gung Coll. of Med. & Technol., Tao-Yuan, Taiwan
  • Volume
    32
  • Issue
    23
  • fYear
    1996
  • fDate
    11/7/1996 12:00:00 AM
  • Firstpage
    2137
  • Lastpage
    2138
  • Abstract
    An efficient and robust approach, which is based on wavelet transform (WT), is proposed for contour extraction for medical ultrasonic images having low signal-to-noise ratio. Furthermore the best wavelet features for profile analysis is estimated by GAs without manual operation. No image preprocessing is needed, so computation time is fast. Experimental results to confirm the proposed algorithm are also included
  • Keywords
    biomedical ultrasonics; feature extraction; genetic algorithms; medical image processing; wavelet transforms; GAs; computation time; contour extraction; genetic approach; image preprocessing; medical ultrasonic imaging; profile analysis; signal-to-noise ratio; wavelet features; wavelet transform;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19961434
  • Filename
    543883