Statistical Methods for Automatic Crack Detection Based on Vibrothermography Sequence-of-Images Data Holland, Stephen Li, Ming Holland, Stephen Meeker, William Meeker, William
dc.contributor.department Statistics 2018-02-16T20:55:54.000 2020-07-02T06:56:20Z 2020-07-02T06:56:20Z 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="" target="_blank">10.1002/asmb.867</a>.</p>
dc.identifier archive/
dc.identifier.articleid 1069
dc.identifier.contextkey 7416626
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/69
dc.language.iso en
dc.source.bitstream archive/|||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
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relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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