A spatial-channel hierarchical deep learning network for pixel-level automated crack detection
This research develops a novel computer vision approach named a spatial-channel hierarchical network (SCHNet), which is feasible to support the automated and reliable concrete crack segmentation at the pixel level. Specifically, SCHNet with a base net Visual Geometry Group 19 (VGG19) contains a self...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/161075 |