Deep learning-assisted automatic quality assessment of concrete surfaces with cracks and bugholes-Reference-Cited by-同舟云学术

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Deep learning-assisted automatic quality assessment of concrete surfaces with cracks and bugholes

Published:2024-10 Issue: Volume:62 Page:102577
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Liu Jiepeng,Yang Zhengtao,Qi Hongtuo,Jiao Tong,Li Dongsheng,Wu Zhou,Zheng Nina,Xu Shaoqian

Funder

National Natural Science Foundation of China

Chongqing University

Publisher

Elsevier BV

Reference65 articles.

1. A stochastic model considering heterogeneity and crack propagation in concrete;Zeng;Constr. Build. Mater.,2020

2. Deep learning-based instance segmentation of cracks from shield tunnel lining images;Huang;Struct. Infrastruct. Eng.,2022

3. Crack detection algorithm for concrete structures based on super-resolution reconstruction and segmentation network;Xiang;Autom. Constr.,2022

4. On the canny edge detector;Ding;Pattern Recognit.,2001

5. Design of an image edge detection filter using the Sobel operator;Kanopoulos;IEEE J. Solid-State Circuits.,1988

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