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Neural network correction of ultrasonic C-scan images

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UNSPECIFIED (1999) Neural network correction of ultrasonic C-scan images. ULTRASONICS, 37 (4). pp. 263-272. ISSN 0041-624X

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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. (C) 1999 Elsevier Science B.V. All rights reserved.

Item Type: Journal Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
R Medicine
Journal or Publication Title: ULTRASONICS
Publisher: ELSEVIER SCIENCE BV
ISSN: 0041-624X
Date: April 1999
Volume: 37
Number: 4
Number of Pages: 10
Page Range: pp. 263-272
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/14518

Data sourced from Thomson Reuters' Web of Knowledge

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