Exploring the Opencv Library for Image Processing in Long-Pulse Thermography
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Materials research (São Carlos. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392021000800205 |
Resumo: | The objective of the present paper is to propose a framework, utilizing the OpenCV library, for post-processing infrared images obtained using Long-Pulse Thermography (LPT), with the goal of segmenting the images into defective and sound areas. A series of thermograms of a carbon fiber/epoxy specimen, containing precision milled flat-bottom holes, was acquired using an LPT system comprised of an uncooled microbolometer imager and halogen optical sources. Flaw detectability and planar size estimation were used to evaluate the results obtained with the proposed post-processing framework, in comparison to raw images, and images subjected only to pre-processing algorithms. |
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Materials research (São Carlos. Online) |
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Exploring the Opencv Library for Image Processing in Long-Pulse ThermographyThermographyNondestructive TestingComposite MaterialsImage ProcessingOpenCVThe objective of the present paper is to propose a framework, utilizing the OpenCV library, for post-processing infrared images obtained using Long-Pulse Thermography (LPT), with the goal of segmenting the images into defective and sound areas. A series of thermograms of a carbon fiber/epoxy specimen, containing precision milled flat-bottom holes, was acquired using an LPT system comprised of an uncooled microbolometer imager and halogen optical sources. Flaw detectability and planar size estimation were used to evaluate the results obtained with the proposed post-processing framework, in comparison to raw images, and images subjected only to pre-processing algorithms.ABM, ABC, ABPol2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392021000800205Materials Research v.24 suppl.2 2021reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/1980-5373-mr-2021-0381info:eu-repo/semantics/openAccessFaria,José Jerônimo RabeloFaria,Alfredo Rocha deeng2021-09-23T00:00:00Zoai:scielo:S1516-14392021000800205Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2021-09-23T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false |
dc.title.none.fl_str_mv |
Exploring the Opencv Library for Image Processing in Long-Pulse Thermography |
title |
Exploring the Opencv Library for Image Processing in Long-Pulse Thermography |
spellingShingle |
Exploring the Opencv Library for Image Processing in Long-Pulse Thermography Faria,José Jerônimo Rabelo Thermography Nondestructive Testing Composite Materials Image Processing OpenCV |
title_short |
Exploring the Opencv Library for Image Processing in Long-Pulse Thermography |
title_full |
Exploring the Opencv Library for Image Processing in Long-Pulse Thermography |
title_fullStr |
Exploring the Opencv Library for Image Processing in Long-Pulse Thermography |
title_full_unstemmed |
Exploring the Opencv Library for Image Processing in Long-Pulse Thermography |
title_sort |
Exploring the Opencv Library for Image Processing in Long-Pulse Thermography |
author |
Faria,José Jerônimo Rabelo |
author_facet |
Faria,José Jerônimo Rabelo Faria,Alfredo Rocha de |
author_role |
author |
author2 |
Faria,Alfredo Rocha de |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Faria,José Jerônimo Rabelo Faria,Alfredo Rocha de |
dc.subject.por.fl_str_mv |
Thermography Nondestructive Testing Composite Materials Image Processing OpenCV |
topic |
Thermography Nondestructive Testing Composite Materials Image Processing OpenCV |
description |
The objective of the present paper is to propose a framework, utilizing the OpenCV library, for post-processing infrared images obtained using Long-Pulse Thermography (LPT), with the goal of segmenting the images into defective and sound areas. A series of thermograms of a carbon fiber/epoxy specimen, containing precision milled flat-bottom holes, was acquired using an LPT system comprised of an uncooled microbolometer imager and halogen optical sources. Flaw detectability and planar size estimation were used to evaluate the results obtained with the proposed post-processing framework, in comparison to raw images, and images subjected only to pre-processing algorithms. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392021000800205 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392021000800205 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1980-5373-mr-2021-0381 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
ABM, ABC, ABPol |
publisher.none.fl_str_mv |
ABM, ABC, ABPol |
dc.source.none.fl_str_mv |
Materials Research v.24 suppl.2 2021 reponame:Materials research (São Carlos. Online) instname:Universidade Federal de São Carlos (UFSCAR) instacron:ABM ABC ABPOL |
instname_str |
Universidade Federal de São Carlos (UFSCAR) |
instacron_str |
ABM ABC ABPOL |
institution |
ABM ABC ABPOL |
reponame_str |
Materials research (São Carlos. Online) |
collection |
Materials research (São Carlos. Online) |
repository.name.fl_str_mv |
Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR) |
repository.mail.fl_str_mv |
dedz@power.ufscar.br |
_version_ |
1754212679837286400 |