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Background noise removal in ultrasonic B‐scan images using iterative statistical techniques
Author(s) -
Wells I.,
Charlton P. C.,
Mosey S.,
Donne K. E.
Publication year - 2008
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.902
Subject(s) - operator (biology) , noise (video) , sizing , computer science , artificial intelligence , ultrasonic sensor , computer vision , image quality , image (mathematics) , process (computing) , radiology , medicine , art , biochemistry , chemistry , visual arts , repressor , transcription factor , gene , operating system
The interpretation of ultrasonic B‐scan images can be a time‐consuming process and its success depends on operator skills and experience. Removal of the image background will potentially improve its quality and hence improve operator diagnosis. An automatic background noise removal algorithm is proposed, enabling the highlighting of defects and aiding the operator in the location and sizing of any anomalies. The method provides a means to successfully remove the background from a B‐scan image. Copyright © 2008 John Wiley & Sons, Ltd.