Computer Vision Method for Automatic Detection of Microstructure Defects of Concrete
Alexey N. Beskopylny,
Sergey A. Stel’makh,
Evgenii M. Shcherban’
et al.
Abstract:The search for structural and microstructural defects using simple human vision is associated with significant errors in determining voids, large pores, and violations of the integrity and compactness of particle packing in the micro- and macrostructure of concrete. Computer vision methods, in particular convolutional neural networks, have proven to be reliable tools for the automatic detection of defects during visual inspection of building structures. The study’s objective is to create and compare computer v… Show more
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