Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials

Signal processing is an essential tool in nondestructive material characterization. Pulse-echo inspection with ultrasonic energy provides signals (A-scans) that can be processed in order to obtain parameters which are related to physical properties of inspected materials. Conventional techniques are...

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Detalles Bibliográficos
Autores: Gómez García, Soledad, Miralles, Ramón, Naranjo, Valery, Bosch, Ignacio
Tipo de recurso: artículo
Fecha de publicación:2010
País:España
Institución:Universidad Católica de Valencia San Vicente Mártir
Repositorio:RIUCV. Repositorio de la Universidad Católica de Valencia San Vicente Mártir
Idioma:inglés
OAI Identifier:oai:riucv.ucv.es:20.500.12466/4252
Acceso en línea:http://hdl.handle.net/20.500.12466/4252
Access Level:acceso abierto
Palabra clave:Additive White Gaussian Noise
Test Piece
Geometrical Descriptor
Gaussian Pulse
Ultrasonic Pulse
3312 Tecnología de Materiales
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spelling Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of MaterialsGómez García, SoledadMiralles, RamónNaranjo, ValeryBosch, IgnacioAdditive White Gaussian NoiseTest PieceGeometrical DescriptorGaussian PulseUltrasonic Pulse3312 Tecnología de MaterialesSignal processing is an essential tool in nondestructive material characterization. Pulse-echo inspection with ultrasonic energy provides signals (A-scans) that can be processed in order to obtain parameters which are related to physical properties of inspected materials. Conventional techniques are based on the use of a short-term frequency analysis of the A-scan, obtaining a timefrequency response (TFR), to isolate the evolution of the different frequency-dependent parameters. The application of geometrical estimators to TFRs provides an innovative way to complement conventional techniques based on the one-dimensional evolution of an A-scan extracted parameter (central or centroid frequency, bandwidth, etc.). This technique also provides an alternative method of obtaining similar meaning and less variance estimators. A comparative study of conventional versus new proposed techniques is presented in this paper. The comparative study shows that working with binarized TFRs and the use of shape descriptors provide estimates with lower bias and variance than conventional techniques. Real scattering materials, with different scatterer sizes, have been measured in order to demonstrate the usefulness of the proposed estimators to distinguish among scattering soft tissues. Superior results, using the proposed estimators in real measures, were obtained when classifying according to mean scatterer size20242024-05-1520102010-04-2820102010-04-28journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/20.500.12466/4252reponame:RIUCV. Repositorio de la Universidad Católica de Valencia San Vicente Mártirinstname:Universidad Católica de Valencia San Vicente MártirInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riucv.ucv.es:20.500.12466/42522026-06-19T08:32:07Z
dc.title.none.fl_str_mv Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials
title Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials
spellingShingle Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials
Gómez García, Soledad
Additive White Gaussian Noise
Test Piece
Geometrical Descriptor
Gaussian Pulse
Ultrasonic Pulse
3312 Tecnología de Materiales
title_short Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials
title_full Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials
title_fullStr Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials
title_full_unstemmed Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials
title_sort Geometrical Feature Extraction from Ultrasonic Time Frequency Responses: An Application to Nondestructive Testing of Materials
dc.creator.none.fl_str_mv Gómez García, Soledad
Miralles, Ramón
Naranjo, Valery
Bosch, Ignacio
author Gómez García, Soledad
author_facet Gómez García, Soledad
Miralles, Ramón
Naranjo, Valery
Bosch, Ignacio
author_role author
author2 Miralles, Ramón
Naranjo, Valery
Bosch, Ignacio
author2_role author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Additive White Gaussian Noise
Test Piece
Geometrical Descriptor
Gaussian Pulse
Ultrasonic Pulse
3312 Tecnología de Materiales
topic Additive White Gaussian Noise
Test Piece
Geometrical Descriptor
Gaussian Pulse
Ultrasonic Pulse
3312 Tecnología de Materiales
description Signal processing is an essential tool in nondestructive material characterization. Pulse-echo inspection with ultrasonic energy provides signals (A-scans) that can be processed in order to obtain parameters which are related to physical properties of inspected materials. Conventional techniques are based on the use of a short-term frequency analysis of the A-scan, obtaining a timefrequency response (TFR), to isolate the evolution of the different frequency-dependent parameters. The application of geometrical estimators to TFRs provides an innovative way to complement conventional techniques based on the one-dimensional evolution of an A-scan extracted parameter (central or centroid frequency, bandwidth, etc.). This technique also provides an alternative method of obtaining similar meaning and less variance estimators. A comparative study of conventional versus new proposed techniques is presented in this paper. The comparative study shows that working with binarized TFRs and the use of shape descriptors provide estimates with lower bias and variance than conventional techniques. Real scattering materials, with different scatterer sizes, have been measured in order to demonstrate the usefulness of the proposed estimators to distinguish among scattering soft tissues. Superior results, using the proposed estimators in real measures, were obtained when classifying according to mean scatterer size
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-04-28
2010
2010-04-28
2024
2024-05-15
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12466/4252
url http://hdl.handle.net/20.500.12466/4252
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:RIUCV. Repositorio de la Universidad Católica de Valencia San Vicente Mártir
instname:Universidad Católica de Valencia San Vicente Mártir
instname_str Universidad Católica de Valencia San Vicente Mártir
reponame_str RIUCV. Repositorio de la Universidad Católica de Valencia San Vicente Mártir
collection RIUCV. Repositorio de la Universidad Católica de Valencia San Vicente Mártir
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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