基于计算机扫描技术的沥青混合料集料质量均匀性评价

运用 CT（Computer Technology）获得沥青混合料的内部微观结构已成为现阶段研究热点之一，但是现阶段结合沥青混合料的 CT扫描断面图具有的特点进行数字图像系统处理的研究相对较少，而且将其用于区分内部材质的技术目前比较粗糙，无法有效将数字图像处理和混合料无损检测技术结合起来。基于混合高斯模型（GMM）E M算法的基础上，对沥青混合料的集料特性进行分割，进而对细观结构的质量均匀性分析进行判断，最后通过试验深层次探索内部体积组成结构情况。研究结果表明本文采用的混合高斯模型能较好的对 CT扫描断层图片进行处理，通过扇形扫描方法可对沥青混合料集料的分布情况进行判断，进而通过对集料颗粒的面积比进行统计分析，进而评价沥青混合料的集料分布均匀性，本文研究结果可为沥青混合料微观领域研究提供借鉴和参考意义。

Aggregate Quality Uniformity Evaluation of Asphalt Mixture Based on Computer Scan Technology

It has become one of the focus topics that using CT （Computer Technology）to obtain asphalt internal microstructure,but combining CT scan cross-sectional different characteristics to carry out system digital image processing is rare at this stage,technical means that distinguishing internal mate-rial are still relatively rough and arbitrary large,can not be combined between digital image processing and mixture not damage test together effectively.This paper carried out image segmentation which based on the EM algorithm of Gaussian mixture model （GMM）,and analysis microstructure uniform quality of asphalt mixture,explore internal volume composition case by testing deeply.The results show that Gauss-ian Mixture Model（GMM）used in this paper can handle CT scan tomography images better,can judge aggregate distribution of asphalt mixture by sector scan method,and evaluate uniformity distribution of as-phalt mixture aggregates through aggregate particles area ratio statistical analysis,the research results of this paper can provide reference significance for asphalt microscopic field study.