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...
Description complète
Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2018) vom: 31. Okt.
|
|---|
| Auteur principal: |
Zou, Qin
(Auteur) |
|---|
| Autres auteurs: |
Zhang, Zheng,
Li, Qingquan,
Qi, Xianbiao,
Wang, Qian,
Wang, Song |
|---|
| Format: | Article en ligne
|
|---|
| Langue: | English |
|---|
| Publié: |
2018
|
|---|
| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Sujets: | Journal Article |
|---|