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Research on Recognition Technology of Aluminum Profile Surface Defects Based on Deep Learning
Aluminum profile surface defects can greatly affect the performance, safety, and reliability of products. Traditional human-based visual inspection has low accuracy and is time consuming, and machine vision-based methods depend on hand-crafted features that need to be carefully designed and lack rob...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566656/ https://www.ncbi.nlm.nih.gov/pubmed/31126112 http://dx.doi.org/10.3390/ma12101681 |