Automated flaw detection method for X-ray images in nondestructive evaluation

dc.contributor.author Ulmer, Karl
dc.contributor.department Electrical and Computer Engineering
dc.contributor.other Electrical and Computer Engineering
dc.date 2018-08-24T20:59:39.000
dc.date.accessioned 2020-06-30T08:20:55Z
dc.date.available 2020-06-30T08:20:55Z
dc.date.embargo 2013-12-13
dc.date.issued 1992
dc.description.abstract <p>Private, government and commercial sectors of the manufacturing world are plagued with imperfect materials, defective components, and aging assemblies that continuously infiltrate the products and services provided to the public. Increasing awareness of public safety and economic stability has caused the manufacturing world to search deeper for a solution to identify these mechanical weaknesses and thereby reduce their impact. The areas of digital image and signal processing have benefited greatly from the technological advances in computer hardware and software capabilities and the development of new processing methods resulting from extensive research in information theory, artificial intelligence, pattern recognition and related fields. These new processing methodologies and capabilities are laying a foundation of knowledge that empowers the industrial and academic community to boldly address this problem and begin designing and building better products and systems for tomorrow.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/261/
dc.identifier.articleid 1260
dc.identifier.contextkey 4922793
dc.identifier.doi https://doi.org/10.31274/rtd-180813-5302
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/261
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/74182
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/261/1992_UlmerKW_AutomatedFlawDetection.pdf|||Fri Jan 14 23:02:11 UTC 2022
dc.subject CNDE
dc.subject Nondestructive Evaluation
dc.title Automated flaw detection method for X-ray images in nondestructive evaluation
dc.type thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
thesis.degree.level Master of Science
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