Learning to Detect Cracks on Damaged Concrete Surfaces Using Two-Branched Convolutional Neural Network

Image sensors are widely used for detecting cracks on concrete surfaces to help proactive and timely management of concrete structures. However, it is a challenging task to reliably detect cracks on damaged surfaces in the real world due to noise and undesired artifacts. In this paper, we propose an...

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Detalles Bibliográficos
Autores principales: Lee, Jieun, Kim, Hee-Sun, Kim, Nayoung, Ryu, Eun-Mi, Kang, Je-Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864448/
https://www.ncbi.nlm.nih.gov/pubmed/31689987
http://dx.doi.org/10.3390/s19214796

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864448/
https://www.ncbi.nlm.nih.gov/pubmed/31689987
http://dx.doi.org/10.3390/s19214796

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