An Automated Image-Based Multivariant Concrete Defect Recognition Using a Convolutional Neural Network with an Integrated Pooling Module

Buildings and infrastructure in congested metropolitan areas are continuously deteriorating. Various structural flaws such as surface cracks, spalling, delamination, and other defects are found, and keep on progressing. Traditionally, the assessment and inspection is conducted by humans; however, du...

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Detalles Bibliográficos
Autores principales: Kim, Bubryur, Choi, Se-Woon, Hu, Gang, Lee, Dong-Eun, Serfa Juan, Ronnie O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105078/
https://www.ncbi.nlm.nih.gov/pubmed/35590810
http://dx.doi.org/10.3390/s22093118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105078/
https://www.ncbi.nlm.nih.gov/pubmed/35590810
http://dx.doi.org/10.3390/s22093118

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