• ISSN: 1674-7461
  • CN: 11-5823/TU
  • 主管:中国科学技术协会
  • 主办:中国图学学会
  • 承办:中国建筑科学研究院有限公司

2023, 15(4): 14-21. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.03

基于计算机视觉的混凝土缺陷检测研究综述

大连理工大学 建设管理系,大连 116024

网络出版日期: 2023-08-30

作者简介: 姜韶华(1971-),男,副教授,博士,主要研究方向: 信息技术支持的工程管理

基金项目: 国家自然科学基金面上项目“数据与知识双驱动的建筑工程施工质量智能合规性检查与问题防治研究” 52078101

A Review of Concrete Defect Detection Based on Computer Vision

Dalian University of Technology, Department of Construction Management, Dalian 116024, China

Available Online: 2023-08-30

引用本文: 姜韶华, 蒋希晗. 基于计算机视觉的混凝土缺陷检测研究综述[J]. 土木建筑工程信息技术, 2023, 15(4): 14-21. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.03

Citation: Shaohua Jiang, Xihan Jiang. A Review of Concrete Defect Detection Based on Computer Vision[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2023, 15(4): 14-21. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.03

摘要:混凝土缺陷对混凝土结构的安全性和稳定性造成的威胁不容小觑,因此,定期的缺陷检测对混凝土结构的维护至关重要。相较于主观低效的人工视觉检测,计算机视觉因在混凝土缺陷检测的自动化方面具有显著优势而成为近年来的研究热点,但目前缺乏该领域的全面综述。因此,本文旨在综合分析计算机视觉技术在混凝土缺陷检测领域的研究进展,对混凝土缺陷检测涉及的计算机视觉算法进行分类,总结现存的技术难点并分析未来研究方向,为该领域的后续研究提供一定的参考。

关键词: 缺陷检测, 混凝土结构, 计算机视觉, 深度学习, 机器学习
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基于计算机视觉的混凝土缺陷检测研究综述

姜韶华, 蒋希晗

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