Threshold-Based BRISQUE-Assisted Deep Learning for Enhancing Crack Detection in Concrete Structures

Automated visual inspection has made significant advancements in the detection of cracks on the surfaces of concrete structures. However, low-quality images significantly affect the classification performance of convolutional neural networks (CNNs). Therefore, it is essential to evaluate the suitabi...

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Detalles Bibliográficos
Autores principales: Pennada, Sanjeetha, Perry, Marcus, McAlorum, Jack, Dow, Hamish, Dobie, Gordon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607118/
https://www.ncbi.nlm.nih.gov/pubmed/37888325
http://dx.doi.org/10.3390/jimaging9100218

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607118/
https://www.ncbi.nlm.nih.gov/pubmed/37888325
http://dx.doi.org/10.3390/jimaging9100218

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