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Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity

Automatic detection and localization of anomalies in nanofibrous materials help to reduce the cost of the production process and the time of the post-production visual inspection process. Amongst all the monitoring methods, those exploiting Scanning Electron Microscope (SEM) imaging are the most eff...

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Detalles Bibliográficos
Autores principales:	Napoletano, Paolo, Piccoli, Flavio, Schettini, Raimondo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795842/ https://www.ncbi.nlm.nih.gov/pubmed/29329268 http://dx.doi.org/10.3390/s18010209

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