Deep learning and image preprocessing-based crack repair trace and secondary crack classification detection method for concrete bridges-Reference-Cited by-同舟云学术

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Deep learning and image preprocessing-based crack repair trace and secondary crack classification detection method for concrete bridges

Published:2024-03-23 Issue: Volume: Page:1-17
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

He Zhongying¹,Xu Wen¹

Affiliation:

1. School of Civil Engineering and Architecture, Henan University, Kaifeng, China

Funder

Gansu Province Science and Technology Major Special Program Project

Henan Science and Technology Development Program

Henan Provincial Department of Transportation Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2024.2330702

Reference56 articles.

1. Analysis of Edge-Detection Techniques for Crack Identification in Bridges

2. Attention-based generative adversarial network with internal damage segmentation using thermography

3. ASR crack identification in bridges using deep learning and texture analysis

4. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

5. Charan K. S. Chokkalingam S. & Sundari K. S. (2022). Comparison of sensitivity and specificity of threshold segmentation method over canny edge segmentation for brain tumor MRI images. In 2022 14th International conference on mathematics actuarial science computer science and statistics (MACS) 1–5. doi:10.1109/MACS56771.2022.10022432

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Computer Vision-Based Crack Detection Methods in Civil Infrastructure: Progress and Challenges;Remote Sensing;2024-08-09

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