Statistical Methods for Automatic Crack Detection Based on Vibrothermography Sequence-of-Images Data

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dc.contributor.author Holland, Stephen
dc.contributor.author Li, Ming
dc.contributor.author Holland, Stephen
dc.contributor.author Meeker, William
dc.contributor.author Meeker, William
dc.contributor.department Statistics
dc.date 2018-02-16T20:55:54.000
dc.date.accessioned 2020-07-02T06:56:20Z
dc.date.available 2020-07-02T06:56:20Z
dc.date.issued 2010-06-01
dc.description.abstract <p>Vibrothermography is a relatively new nondestructive evaluation technique for finding cracks through frictional heat generated from crack surface vibrations under external excitations. The vibrothermography inspection method provides a sequence of infrared images as output. We use a matched filter technique to increase the signal-to-noise ratio of the sequence-of-images data. An automatic crack detection criterion based on the features extracted from the matched filter output greatly increases the sensitivity of the vibrothermography inspection method. In this paper, we develop a three dimensional matched filter for the sequence-of-images data, present the statistical analysis for the matched filter output, and evaluate the probability of detection. Our results show the crack detection criterion based on the matched filter output provides improved detection capability.</p>
dc.description.comments <p>This preprint was published as M. Li, S.D. Holland and W.Q. Meeker, "Statistical Methods for Automatic Crack Detection Based on Vibrothermography Sequence-of-Images Data", <em>Applied Stochastic Models in Business and Industry</em> (2010): 509-512, doi: <a href="http://dx.doi.org/10.1002/asmb.867" target="_blank">10.1002/asmb.867</a>.</p>
dc.identifier archive/lib.dr.iastate.edu/stat_las_preprints/69/
dc.identifier.articleid 1069
dc.identifier.contextkey 7416626
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/69
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90364
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_preprints/69/2010_MeekerWQ_StatisticalMethodsAutomatic.pdf|||Sat Jan 15 01:30:16 UTC 2022
dc.subject.disciplines Statistics and Probability
dc.subject.keywords Center for Nondestructive Evaluation
dc.subject.keywords image analysis
dc.subject.keywords matched filter
dc.subject.keywords nondestructive evaluation
dc.subject.keywords probability of detection
dc.subject.keywords signal-to-noise ratio
dc.title Statistical Methods for Automatic Crack Detection Based on Vibrothermography Sequence-of-Images Data
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication dea444ce-079d-483e-8db1-c33100203381
relation.isAuthorOfPublication a1ae45d5-fca5-4709-bed9-3dd8efdba54e
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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