Automated Geometric Quantification of Building Exterior Wall Cracks Based on Computer Vision-Reference-Cited by-同舟云学术

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Automated Geometric Quantification of Building Exterior Wall Cracks Based on Computer Vision

Published:2024-08 Issue:4 Volume:38 Page:
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Cai Ruying¹,Li Jingru²^ORCID,Tan Yi³,Shou Wenchi⁴,Butera Anthony⁴

Affiliation:

1. Ph.D. Student, College of Civil and Transportation Engineering, Shenzhen Univ., Shenzhen 518060, China.

2. Professor, College of Civil and Transportation Engineering, Shenzhen Univ., Shenzhen 518060, China. ORCID: .

3. Associate Professor, College of Civil and Transportation Engineering, Shenzhen Univ., Shenzhen 518060, China (corresponding author).

4. Lecturer, School of Engineering, Design and Built Environment, Western Sydney Univ., Penrith, NSW 2751, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JPCFEV.CFENG-4618

Reference58 articles.

1. Deep Learning-Based Concrete Surface Damage Monitoring Method Using Structured Lights and Depth Camera

2. Method for concrete structure analysis by microscopy of hardened cement paste and crack segmentation using a convolutional neural network;Beskopylny A. N.;J. Compos. Sci.,2023

3. Vision and Deep Learning-Based Algorithms to Detect and Quantify Cracks on Concrete Surfaces from UAV Videos

4. An Approach to the Detection of Post-seismic Structural Damage Based on Image Segmentation Methods

5. AFFNet: An attention-based feature-fused network for surface defect segmentation;Chen X. D.;Appl. Sci.,2023

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