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Neural network correction of ultrasonic C-scan images
D A Hutchins1, A C Pardoe, D R Billson
1Department of Engineering, University of Warwick, Coventry, UK. dah@eng.warwick.ac.uk
Ultrasonics
|June 24, 1999
Abstract:
A neural network-based approach to the correction of C-scan images is presented. This allows the effects of a finite ultrasonic beam diameter in an immersion experiment to be considered, by training the network on a series of defects of known characteristics. The result is an image which is a better representation of the actual defect.