骨料(复合)
沥青
三角测量
激光扫描
图像处理
度量(数据仓库)
曲面(拓扑)
数学形态学
数字图像处理
计算机科学
材料科学
计算机视觉
人工智能
图像(数学)
激光器
复合材料
光学
数学
数据挖掘
几何学
物理
作者
Ruiqie Jiang,Xiao Zhou,Maoping Ran
标识
DOI:10.1080/14680629.2023.2225637
摘要
Digital image processing is commonly used in civil engineering to measure aggregate morphologies. However, it has limitations due to laying style and acquisition method, restricting analysis to two-dimensional geometric features. To overcome this, a new laser scanning-based method is proposed to reconstruct three-dimensional features of coarse aggregates. Three-dimensional morphology indexes are developed, with promising results. This method effectively captures complete surface information and the ratios between axes, surface area rate, and volume rate describe shape, texture, and angularity well. The proposed methodology accurately characterizes coarse aggregate morphologies, aiding asphalt mixture design. Incorporating the developed indexes enables effective quality control of asphalt pavements.
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