Enhanced Intelligent Identification of Concrete Cracks Using Multi-Layered Image Preprocessing-Aided Convolutional Neural Networks

Crack identification plays an essential role in the health diagnosis of various concrete structures. Among different intelligent algorithms, the convolutional neural networks (CNNs) has been demonstrated as a promising tool capable of efficiently identifying the existence and evolution of concrete c...

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Detalles Bibliográficos
Autores principales: Fu, Ronghua, Xu, Hao, Wang, Zijian, Shen, Lei, Cao, Maosen, Liu, Tongwei, Novák, Drahomír
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181115/
https://www.ncbi.nlm.nih.gov/pubmed/32260302
http://dx.doi.org/10.3390/s20072021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181115/
https://www.ncbi.nlm.nih.gov/pubmed/32260302
http://dx.doi.org/10.3390/s20072021

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