Automatic Crack Detection on Concrete Structure Using a Deep Convolutional Neural Network and Transfer Learning
Author:
Affiliation:
1. Université de Sherbrooke (UdS),Département de génie électrique et de génie informatique,Sherbrooke,Canada
2. Université du Québec à Rimouski (UQAR),Département de mathématiques informatique et génie,Rimouski,Canada
Funder
Université du Québec à Rimouski
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9961845/9961963/09962029.pdf?arnumber=9962029
Reference30 articles.
1. Automatic Crack Detection on Two-Dimensional Pavement Images: An Algorithm Based on Minimal Path Selection
2. An efficient crack detection method using percolation-based image processing
3. Deep convolution neural network for crack detection on asphalt pavement
4. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
5. Performance Evaluation of Deep CNN-Based Crack Detection and Localization Techniques for Concrete Structures
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