JOURNAL ARTICLE
Automatic Pixel‐Level Crack Detection and Measurement Using Fully Convolutional Network
Xincong YangHeng LiYantao YuXiaochun LuoTing HuangYang Xu
Year: 2018 Journal: Computer-Aided Civil and Infrastructure Engineering Vol: 33 (12)Pages: 1090-1109 Publisher: Wiley
Keywords:
Pixel Segmentation Computer science Artificial intelligence Identification (biology) Ground truth Pattern recognition (psychology)
Metrics
759
Cited By
47.93
FWCI (Field Weighted Citation Impact)
60
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Infrastructure Maintenance and Monitoring
Physical Sciences → Engineering → Civil and Structural Engineering
Concrete Corrosion and Durability
Physical Sciences → Engineering → Civil and Structural Engineering
Asphalt Pavement Performance Evaluation
Physical Sciences → Engineering → Civil and Structural Engineering
Related Documents
JOURNAL ARTICLE
Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network
Chuncheng FengZhang HuaHaoran WangShuang WangYonglong Li
Journal: Sensors Year: 2020 Vol: 20 (7)Pages: 2069-2069
JOURNAL ARTICLE
ARF-Crack: rotation invariant deep fully convolutional network for pixel-level crack detection
Fu‐Chen ChenMohammad R. Jahanshahi
Journal: Machine Vision and Applications Year: 2020 Vol: 31 (6)
JOURNAL ARTICLE
Automatic pixel‐level multiple damage detection of concrete structure using fully convolutional network
Shengyuan LiXuefeng ZhaoGuangyi Zhou
Journal: Computer-Aided Civil and Infrastructure Engineering Year: 2019 Vol: 34 (7)Pages: 616-634
JOURNAL ARTICLE
Robust Pixel-Level Crack Detection Using Deep Fully Convolutional Neural Networks
Mohamad AlipourDevin K. HarrisGregory R. Miller
Journal: Journal of Computing in Civil Engineering Year: 2019 Vol: 33 (6)
JOURNAL ARTICLE
Automatic pixel-level crack segmentation in images using fully convolutional neural network based on residual blocks and pixel local weights
Ali RazaJoon Huang ChuahMohamad Sofian Abu TalipNorrima MokhtarMuhammad Shoaib
Journal: Engineering Applications of Artificial Intelligence Year: 2021 Vol: 104 Pages: 104391-104391