• DocumentCode
    2031790
  • Title

    Ultrasound speckle reduction by directional median filtering

  • Author

    Czerwinski, Richard N. ; Jones, Douglas L. ; O´Brien, William D., Jr.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    358
  • Abstract
    This paper presents a novel adaptation of the median filter to the problem of boundary-preserving speckle reduction in ultrasonic imaging. The technique involves applying a bank of oriented one-dimensional median filters to the image, and retaining at each point the largest value among all the filter bank outputs. The result is an operator which suppresses speckle noise while retaining the structure of the image, particularly the thin bright streaks, which tend to occur along boundaries between tissue layers. The technique is compared to a block median filter and an algorithm discussed by Loupas et al. (1989), and is shown to be far superior to the median filter, and noticeably better than the Loupas filter at enhancing thin lines
  • Keywords
    band-pass filters; biomedical ultrasonics; edge detection; filtering theory; image enhancement; median filters; medical image processing; speckle; Loupas filter; algorithm; block median filter; boundaries; boundary preserving speckle reduction; directional median filtering; filter bank; image structure; median filter; speckle noise suppression; thin bright streaks; thin lines enhancement; tissue layers; ultrasonic imaging; ultrasound speckle reduction; Biological tissues; Filter bank; Image segmentation; Laser radar; Nonlinear filters; Pixel; Rough surfaces; Speckle; Surface roughness; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.529720
  • Filename
    529720