Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection
Drone imagery is increasingly used in automated inspection for infrastructure surface defects, especially in hazardous or unreachable environments. In machine vision, the key to crack detection rests with robust and accurate algorithms for image processing. To this end, this paper proposes a deep le...
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| Published in: | arXiv.org |
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| Main Authors: | , , , |
| Format: | Paper |
| Language: | English |
| Published: |
Ithaca
Cornell University Library, arXiv.org
21.04.2021
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| Subjects: | |
| ISSN: | 2331-8422 |
| Online Access: | Get full text |
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