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Wavelet basis selection and feature extraction for shift invariant ultrasound foreign body classification

Patrick P C Tsui1, Otman A Basir

  • 1Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. pcptsui@engmail.uwaterloo.ca <pcptsui@engmail.uwaterloo.ca>

Ultrasonics
|July 18, 2006
PubMed
Summary

This study introduces an automated ultrasound method for detecting and classifying foreign bodies (FB). The technique enhances accuracy by optimizing wavelet bases for feature extraction, improving non-destructive testing.

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