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Detection of Micro-Defects on Metal Screw Surfaces Based on Deep Convolutional Neural Networks
This paper proposes a deep convolutional neural network (CNN) -based technique for the detection of micro defects on metal screw surfaces. The defects we consider include surface damage, surface dirt, and stripped screws. Images of metal screws with different types of defects are collected using ind...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6263637/ https://ncbi.nlm.nih.gov/pubmed/30384497 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18113709 |
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