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Inspecting Decorative Ceramic Defects by Fusing Convolutional Neural Network and Image Recognition
The intelligent inspection of ceramic decorative defects is one of the hot research at present. This work aims to improve the defect inspection automation of finished decorative ceramic workpieces. First, it introduces the multi-target detection algorithm and compares the performance of different ne...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420580/ https://www.ncbi.nlm.nih.gov/pubmed/36045964 http://dx.doi.org/10.1155/2022/3983919 |