【摘要】 采用数字图像处理技术,利用自行研制的粗集料形态特征研究系统(MASCA),对粗集料的图像级配特征进行研究,提出将二维数字图像级配转换为三维机械筛分级配的修正方法.研究结果表明:数字图像级配与室内机械筛分级配具有较好的相关性,两者间的相对误差小于5%;该方法对于不同岩性石料与不同的工程级配均具有很好的普适性.采用MASCA系统来检测粗集料的级配特征具有较好的可行性.更多还原

【Abstract】 In this paper,digital image processing(DIP) technique is adopted to study the image grading characteri-stics of coarse aggregate.By using the self-developed morphology analysis system of coarse aggregate(MASCA),a conversion method is put forward to transform the two-dimension DIP grading image into the three-dimension mechanical sieving image.The results show that the DIP grading image accords well with the mechanical sieving one,with an error of less than 5%.Moreover,the proposed method has a good universality for different stones and gra-ding,thus there following the conclusion that the MASCA system is feasible in the measurement of grading characteristics of coarse aggregate.更多还原