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
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413838