Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
A number of image processing techniques (IPTs) have been implemented for detecting civil infrastructure defects to partially replace human‐conducted onsite inspections. These IPTs are primarily used to manipulate images to extract defect features, such as cracks in concrete and steel surfaces. Howev...
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Veröffentlicht in: | Computer-aided civil and infrastructure engineering 2017-05, Vol.32 (5), p.361-378 |
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