English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/5327
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


On the use of the non-stationarity of the structural noise for defect visibility enhnacement in ultrasonic inspections

AuthorsIzquierdo, M. A. G.; Hernández, M. G.; Molero Armenta, Miguel Ángel; Anaya Velayos, José Javier
KeywordsUltrasonic imaging and detection
Signal processing
Structural noise
Ultrasonic inspections
Flaw visibility enhancement
Issue DateDec-2007
PublisherSociedad Española de Acústica
CitationXIX Congreso Internacional de Acústica (ICA2007)
AbstractStructural noise is an important distortion source in ultrasonic images of highly dispersive materials. This noise can considerably mask the flaw signals and cannot be eliminated using standard techniques for noise cancelling like band-pass filtering or temporal averaging. Fortunately, this noise has several characteristics that may help an algorithm designer to develop methods that improve the defect visibility.
In the literature there exist many techniques for flaw visibility enhancement in the presence of structural noise. However, many of the proposed algorithms do not systematic exploit the above mentioned characteristics. In this work we analyze the structural noise from a point of view of an algorithm developer that seeks parameters that may help to eliminate the noise enhancing the defect visibility. Also, we present several algorithms examples that, using this information, dramatically improve the visibility of the flaw echoes.
DescriptionPonencia presentada en el XIX Congreso Internacional de Acústica (ICA2007), Madrid, 2-7 Sep 2007.-- PACS: 43.60.Hj.
Appears in Collections:(IAI) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
ult-10-003.pdf431,53 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.