Hutchins DA, Pardoe AC, Billson DR, Hines EL. Neural network correction of ultrasonic C-scan images.
ULTRASONICS 1999;
37:263-272. [PMID:
10379366 DOI:
10.1016/s0041-624x(99)00003-7]
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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.
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