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...

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Detalles Bibliográficos
Autores principales: Jin, Kaiyan, Wang, Chunbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
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

Internet

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

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