Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
1640 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 13, NO. 12, DECEMBER 2004 Edge Detection in Ultrasound Imagery Using the
 

Summary: 1640 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 13, NO. 12, DECEMBER 2004
Edge Detection in Ultrasound Imagery Using the
Instantaneous Coefficient of Variation
Yongjian Yu, Senior Member, IEEE, and Scott T. Acton, Senior Member, IEEE
Abstract--The instantaneous coefficient of variation (ICOV)
edge detector, based on normalized gradient and Laplacian
operators, has been proposed for edge detection in ultrasound
images. In this paper, the edge detection and localization per-
formance of the ICOV-squared (ICOVS) detector are examined.
First, a simplified version of the ICOVS detector, the normalized
gradient magnitude squared, is scrutinized in order to reveal
the statistical performance of edge detection and localization in
speckled ultrasound imagery. Both the probability of detection
and the probability of false alarm are evaluated for the detector.
Edge localization is characterized by the position of the peak and
the 3-dB width of the detector response. Then, the speckle-edge
response of the ICOVS as applied to a realistic edge model is
studied. Through theoretical analysis, we reveal the compensatory
effects of the normalized Laplacian operator in the ICOV edge
detector for edge-localization error. An ICOV-based edge-de-

  

Source: Acton, Scott - Department of Electrical and Computer Engineering, University of Virginia

 

Collections: Computer Technologies and Information Sciences