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Video Image Analysis of Aggregates: A Study Report on Evaluation of Coarse Aggregate Shape and Size Properties Using Video Imaging

机译:聚合物的视频图像分析:使用视频成像评估粗骨料形状和尺寸特性的研究报告

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This study focused on evaluating performances of different video imaging systems, both commercially available and newly developed, for automating the determination of coarse aggregate (nominal size greater than 4.75 mm or No. 4 sieve) size and shape properties, i.e., flat and elongated ratio, gradation, and angularity. These properties impacting performance of asphalt pavements were previously developed into a set of consensus properties to identify proper aggregates for SHRP Superpave asphalt concrete mix designs. A total of 10 bags of aggregate samples, primarily crushed gravel, limestone, and dolomite provided by the Illinois Department of Transportation (IDOT), were used to evaluate speed, precision, and accuracy of various image analysis techniques, specifically, (1) the digital image analysis technique proposed by Frost and Lai (1996); (2) the commercially available French video grader VDG 40; (3) the recent WipShape system at the University of Missouri-Rolla; and finally, (4) the new 'University of Illinois (UI) Aggregate Image Analyzer.' Based on the evaluation results, not all the properties, i.e., flat and elongated ratio, gradation, and angularity, could possibly by determined from one system.

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