Vision-based concrete crack detection using a hybrid framework considering noise effect

Author:

Yu Yang,Samali Bijan,Rashidi Maria,Mohammadi MasoudORCID,Nguyen Thuc N.,Zhang Guang

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference37 articles.

1. Cost-effective system for detection and quantification of concrete surface cracks by combination of convolutional neural network and image processing techniques;Miao;Construct. Build. Mater.,2021

2. Experimental and numerical investigation on the role of interface for crack-width control of hybrid SHCC concrete beams;Mustafa;Eng. Struct.,2022

3. Structural performance assessment of concrete components based on fractal information of cracks;Liu;J. Build. Eng.,2021

4. A decade of modern bridge monitoring using terrestrial laser scanning: review and future directions;Rashidi;Rem. Sens.,2020

5. Detection and location of steel structure surface cracks based on unmanned aerial vehicle images;Han;J. Build. Eng.,2022

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