Steel Wire Rope Surface Defect Detection Based on Segmentation Template and Spatiotemporal Gray Samp...
Steel Wire Rope Surface Defect Detection Based on Segmentation Template and Spatiotemporal Gray Sample Set
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Machine-vision-based defect detection, instead of manual visual inspection, is becoming increasingly popular. In practice, images of the upper surface of cableway load sealing steel wire ropes are seriously affected by complex environments, including factors such as lubricants, adhering dust, natural light, reflections from metal or oil stains, and...
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Full title
Steel Wire Rope Surface Defect Detection Based on Segmentation Template and Spatiotemporal Gray Sample Set
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TN_cdi_doaj_primary_oai_doaj_org_article_3e0c81f4fb424d96bdde147067571d47
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e0c81f4fb424d96bdde147067571d47
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21165401
