Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks
Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks
About this item
Full title
Author / Creator
Tao, Xian , Zhang, Dapeng , Ma, Wenzhi , Liu, Xilong and Xu, De
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Automatic metallic surface defect inspection has received increased attention in relation to the quality control of industrial products. Metallic defect detection is usually performed against complex industrial scenarios, presenting an interesting but challenging problem. Traditional methods are based on image processing or shallow machine learning...
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Full title
Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_19ddfd0fb8f644c7a520c27d62b82d8f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_19ddfd0fb8f644c7a520c27d62b82d8f
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app8091575
