Automatic pixel-level crack segmentation in images using fully convolutional neural network based on residual blocks and pixel local weights
Cracks are significant indicators for the evaluation of the structural health and monitoring process. However, manual crack detection is a time-consuming and challenging task due to large areas, complex structure, and safety risks. Deep learning has emerged as a useful technique to automate the crac...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Pergamon-Elsevier Science Ltd
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/27823/ |
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