中文摘要：

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．

英文摘要：

In this paper, digital image processing （DIP） technique is adopted to study the image grading characteristics 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 grading, thus there following the conclusion that the MASCA system is feasible in the measurement of grading characteristics of coarse aggregate.