Autonomous Concrete Crack Semantic Segmentation Using Deep Fully Convolutional Encoder–Decoder Network in Concrete Structures Inspection

Autonomous Concrete Crack Semantic Segmentation Using Deep Fully Convolutional Encoder–Decoder Network in Concrete Structures Inspection

Structure health inspection is the way to ensure that structures stay in optimum condition. Traditional inspection work has many disadvantages in dealing with the large workload despite using remote image-capturing devices. This research focuses on image-based concrete crack pattern recognition util...

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Bibliographic Details
Main Authors: Rundong Pu, Guoqian Ren, Haijiang Li, Wei Jiang, Jisong Zhang, Honglei Qin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Buildings
Subjects:
deep learning
semantic segmentation
crack pattern
bridge inspection
deep convolutional neural network (DCNN)
Online Access:https://www.mdpi.com/2075-5309/12/11/2019

Internet

https://www.mdpi.com/2075-5309/12/11/2019

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