RUC-Net: A Residual-Unet-Based Convolutional Neural Network for Pixel-Level Pavement Crack Segmentation

Automatic crack detection is always a challenging task due to the inherent complex backgrounds, uneven illumination, irregular patterns, and various types of noise interference. In this paper, we proposed a U-shaped encoder–decoder semantic segmentation network combining Unet and Resnet for pixel-le...

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Detalles Bibliográficos
Autores principales: Yu, Gui, Dong, Juming, Wang, Yihang, Zhou, Xinglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824347/
https://www.ncbi.nlm.nih.gov/pubmed/36616651
http://dx.doi.org/10.3390/s23010053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824347/
https://www.ncbi.nlm.nih.gov/pubmed/36616651
http://dx.doi.org/10.3390/s23010053

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