Fast Detection of Missing Thin Propagating Cracks during Deep-Learning-Based Concrete Crack/Non-Crack Classification

Existing deep learning (DL) models can detect wider or thicker segments of cracks that occupy multiple pixels in the width direction, but fail to distinguish the thin tail shallow segment or propagating crack occupying fewer pixels. Therefore, in this study, we proposed a scheme for tracking missing...

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Detalles Bibliográficos
Autores principales: Kolappan Geetha, Ganesh, Yang, Hyun-Jung, Sim, Sung-Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919036/
https://www.ncbi.nlm.nih.gov/pubmed/36772459
http://dx.doi.org/10.3390/s23031419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919036/
https://www.ncbi.nlm.nih.gov/pubmed/36772459
http://dx.doi.org/10.3390/s23031419

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