基于数字图像处理技术的粗集料级配特征  

Investigation into Grading Characteristic of Coarse Aggregate via Digital Image Processing Technique

作　　者：汪海年[1] 郝培文[1] 庞立果[1] 邸建红[2] 

机构地区：[1]长安大学特殊地区公路工程教育部重点实验室,陕西西安710064 [2]石家庄铁道学院电气工程分院,河北石家庄050043

出　　处：《华南理工大学学报（自然科学版）》2007年第11期54-58,62,共6页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(50578016)

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.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.

关 键 词：道路工程 粗集料 级配 数字图像处理 

分 类 号：U414[交通运输工程—道路与铁道工程] TP317.4[自动化与计算机技术—计算机软件与理论]