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Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY
This paper reviews automated visual-based defect detection approaches applicable to various materials, such as metals, ceramics and textiles. In the first part of the paper, we present a general taxonomy of the different defects that fall in two classes: visible (e.g., scratches, shape error, etc.)...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085592/ https://ncbi.nlm.nih.gov/pubmed/32155900 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20051459 |
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