Detection and recognition of bridge crack based on convolutional neural network
Aiming at the backward artificial visual detection status of bridge crack in China, which has a great danger coefficient, a digital and intelligent detection method of improving the diagnostic efficiency and reducing the risk coefficient is studied. Combing with machine vision and convolutional neur...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Hebei University of Science and Technology
2016-10-01
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| Series: | Journal of Hebei University of Science and Technology |
| Subjects: | |
| Online Access: | http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b201605009&flag=1&journal_ |