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The Research on Aggregate Microstructure Uniformity Image Processing of Asphalt Mixture Based on Computer Scanning Technology

机译：基于计算机扫描技术的沥青混合料聚集微结构均匀图像处理研究

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摘要

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 digital image processing is rare at this stage, technical means that distinguishing internal material 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 based on EM algorithm of Gaussian mixture model (GMM), analysis microstructure uniformity quality of asphalt mixture, and explores internal volume composition case by testing deeply. The results show that Gaussian Mixture Model(GMM) used in this paper can handle CT scan tomographic images better, judge aggregate distribution of asphalt mixture by sector scan method, and evaluate uniformity distribution of asphalt mixture aggregates through aggregate particles area ratio statistical analysis, the research results of this paper can provide reference significance for asphalt microscopic field study.
机译：它已成为使用CT（计算机技术）获得沥青内部微观结构的焦点主题之一，但是CT扫描横截面不同特性在此阶段执行数字图像处理很少见，技术意味着区分内部材料仍然存在相对粗糙和任意的大，不能在数字图像处理和混合物之间组合在一起有效地损坏。本文基于高斯混合模型（GMM）的EM算法进行了图像分割，分析了沥青混合料的微观结构均匀性质量，并通过深入测试探讨内部体积组成案例。结果表明，本文中使用的高斯混合模型（GMM）可以更好地处理CT扫描断层图像，通过扇形扫描方法判断沥青混合料的骨料分布，并通过骨料颗粒面积比统计分析评价沥青混合物聚集体的均匀性分布。本文的研究结果可以为沥青微观田间研究提供参考意义。

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