Automatic quantification of concrete cracks via multistage image filtration and trajectory-based local binarization-Reference-Cited by-同舟云学术

Automatic quantification of concrete cracks via multistage image filtration and trajectory-based local binarization

Published:2023-10 Issue: Volume:77 Page:107391
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Yalew Tibebe Tesfaye,Kim Ki-Seong

Funder

Ministry of SMEs and Startups

Chonnam National University

Ministry of Education

Publisher

Elsevier BV

Subject

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

Reference41 articles.

1. Development of an automatic crack inspection system for concrete tunnel lining based on computer vision technologies;Nguyen;IOP Conf. Ser. Mater. Sci. Eng.,2018

2. Crack Detection on Concrete Surfaces Using Image Processing;Varsha,2020

3. Crack detection using image processing: a critical review and analysis;Mohan;Alex. Eng. J.,2018

4. A stereovision-based crack width detection approach for concrete surface assessment;Shan;KSCE J. Civ. Eng.,2016

5. Crack detection in concrete structures using deep learning;Golding;Sustain. Times,2022

Cited by 4 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. Enhanced concrete crack detection and proactive safety warning based on I-ST-UNet model;Automation in Construction;2024-10

2. An efficient out-of-distribution pixel-level crack detection framework using prior knowledge;Journal of Building Engineering;2024-10

3. Soil-water characteristic curve of expansive soils considering cumulative damage effects of wetting and drying cycles;Engineering Geology;2024-09

4. An experimental investigation and optimization of the properties of concrete containing cellulose fiber based on system theory;Construction and Building Materials;2024-01