• DocumentCode
    2120471
  • Title

    Edge detection in ultrasound speckle noise

  • Author

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

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    304
  • Abstract
    Presents a statistical approach to edge detection in ultrasound speckle, and uses actual noise statistics to derive an expression for an optimal detection rule. The authors compute the optimal detector for the special case of uncorrelated speckle, and an approximation to the optimal detector for the case when signal-to-noise ratio (SNR) is high. They also discuss a simple sub-optimal detection scheme, and show that its performance is close to that of the optimal uncorrelated speckle detection rule, and surpasses that of the high-SNR approximation except in the case of extremely high SNR, in which case they both perform equally well
  • Keywords
    acoustic noise; acoustic signal processing; biomedical ultrasonics; edge detection; interference (signal); medical image processing; optimisation; speckle; edge detection; noise statistics; optimal detection; optimal detector; performance; signal-to-noise ratio; sub-optimal detection; ultrasound speckle noise; uncorrelated speckle; Acoustic noise; Acoustic signal detection; Detectors; Image edge detection; Medical diagnosis; Signal to noise ratio; Speckle; Statistics; Testing; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413838
  • Filename
    413838