计算机工程2026，Vol.52Issue(5)：43-59,17.DOI:10.19678/j.issn.1000-3428.0252172
混凝土外观与流动态图像机器视觉识别综述
A Review of Image Recognition Technology for Concrete Appearance and Flow State Based on Machine Vision
摘要
Abstract
Machine vision technology can be leveraged to identify images of collected concrete products,enabling the rapid,accurate,and nondestructive assessment of their performance,which is significant for engineering applications.Traditional manual inspection methods are inefficient and highly subjective.Moreover,the performance of existing image recognition technologies is hindered by challenges such as uneven lighting,background noise interference,diverse crack shapes,and blurry boundaries in dynamic images.Therefore,intelligent solutions that can adapt to complex engineering scenarios are in demand.Through a systematic review of relevant literature,this paper evaluates two concrete types,focusing on the identification of cracks and appearance defects in static hardened concrete and the evaluation of the flowability of dynamic fresh concrete.First,from the perspectives of traditional digital image technology and neural networks,it reviews the research progress on crack identification,appearance quality discrimination,and flowability assessment under different scenarios and shooting subjects.Then,it summarizes and compares the advantages and disadvantages of different algorithms in the preprocessing,image segmentation,and feature extraction steps in existing processing procedures,as well as their application scenarios.Finally,through a comparative analysis,a set of recommended image recognition processing procedures and solutions for judging the appearance,quality,and flowability of concrete products is proposed.This paper provides algorithmic ideas for the intelligent recognition and assessment of structural concrete performance,thereby promoting the application of visual technology in the civil engineering field.关键词
机器视觉/混凝土产品/裂缝识别/外观质量/流动性Key words
machine vision/concrete products/crack identification/appearance quality/fluidity分类
信息技术与安全科学引用本文复制引用
徐晟轩,许蕾,费一凡..混凝土外观与流动态图像机器视觉识别综述[J].计算机工程,2026,52(5):43-59,17.基金项目
国家自然科学基金面上项目(62272214). （62272214）
