Detection and Length Measurement of Cracks Captured in Low Definitions Using Convolutional Neural Networks

Continuous efforts were made in detecting cracks in images. Varied CNN models were developed and tested for detecting or segmenting crack regions. However, most datasets used in previous works contained clearly distinctive crack images. No previous methods were validated on blurry cracks captured in...

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Detalles Bibliográficos
Autores principales: Kim, Jin-Young, Park, Man-Woo, Huynh, Nhut Truong, Shim, Changsu, Park, Jong-Woong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143821/
https://www.ncbi.nlm.nih.gov/pubmed/37112330
http://dx.doi.org/10.3390/s23083990

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143821/
https://www.ncbi.nlm.nih.gov/pubmed/37112330
http://dx.doi.org/10.3390/s23083990

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