Edge detection in ultrasound speckle noise

R. N. Czerwinski, Douglas L Jones, W. D. O'Brien

Research output: Contribution to journalConference article

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.

Original languageEnglish (US)
Article number413838
Pages (from-to)304-308
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume3
DOIs
StatePublished - Jan 1 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

Fingerprint

Edge detection
Speckle
Acoustic noise
Signal to noise ratio
Ultrasonics
Detectors
Statistics

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Edge detection in ultrasound speckle noise. / Czerwinski, R. N.; Jones, Douglas L; O'Brien, W. D.

In: Proceedings - International Conference on Image Processing, ICIP, Vol. 3, 413838, 01.01.1994, p. 304-308.

Research output: Contribution to journalConference article

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