Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
Top Cited Papers
- 23 March 2017
- journal article
- Published by Wiley in Computer-Aided Civil and Infrastructure Engineering
- Vol. 32 (5), 361-378
- https://doi.org/10.1111/mice.12263
Abstract
No abstract availableKeywords
This publication has 37 references indexed in Scilit:
- Texture Analysis Based Damage Detection of Ageing Infrastructural ElementsComputer-Aided Civil and Infrastructure Engineering, 2012
- Concrete Crack Detection by Multiple Sequential Image FilteringComputer-Aided Civil and Infrastructure Engineering, 2011
- Flaw detection in radiographic weldment images using morphological watershed segmentation techniqueNDT & E International, 2009
- Image‐Based Crack Detection for Real Concrete SurfacesIEEJ Transactions on Electrical and Electronic Engineering, 2007
- XFEM‐based crack detection scheme using a genetic algorithmInternational Journal for Numerical Methods in Engineering, 2007
- Pseudospectra, MUSIC, and dynamic wavelet neural network for damage detection of highrise buildingsInternational Journal for Numerical Methods in Engineering, 2007
- Automated detection of cracks in buried concrete pipe imagesAutomation in Construction, 2006
- ENVIRONMENTAL VARIABILITY OF MODAL PROPERTIESExperimental Techniques, 1999
- Model-based quantitation of 3-D magnetic resonance angiographic imagesIEEE Transactions on Medical Imaging, 1999
- Gradient-based learning applied to document recognitionProceedings of the IEEE, 1998