DeepCrack : Learning Hierarchical Convolutional Features for Crack Detection
Cracks are typical line structures that are of interest in many computer-vision applications. In practice, many cracks, e.g., pavement cracks, show poor continuity and low contrast, which brings great challenges to image-based crack detection by using low-level features. In this paper, we propose De...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 31. Okt.
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| 1. Verfasser: |
Zou, Qin
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Zheng,
Li, Qingquan,
Qi, Xianbiao,
Wang, Qian,
Wang, Song |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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