title: Neural network correction of ultrasonic C-scan images.
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.
authors.affiliation: Department of Engineering, University of Warwick, Coventry, UK. dah@eng.warwick.ac.uk
authors.forename: D A
authors.initials: DA
authors.lastname: Hutchins
authors.forename: A C
authors.initials: AC
authors.lastname: Pardoe
authors.forename: D R
authors.initials: DR
authors.lastname: Billson
authors.forename: E L
authors.initials: EL
authors.lastname: Hines
mesh_terms: D006801:Humans; D007089:Image Enhancement; D016571:Neural Networks, Computer; D014465:Ultrasonics