基于图像处理的再生沥青混合料体视学分析

发布时间：2018-05-27 13:09

本文选题：再生沥青混合料 + 化学染色法　；参考：《广西大学学报(自然科学版)》2017年01期

【摘要】：针对目前再生沥青混合料新旧集料混合不均而造成混合料性质不稳定的现象,文中提出采用化学染色法区别新旧集料、对比分析多种阈值的分割方法。通过图像方法分析再生沥青混合料的不同体积组成,在此基础上提出基于Laplace的数字图像分割处理方法,结合体视学分析,实现三维实体转换二维数字图像,从而进行再生沥青混合料的级配设计。结果表明,化学染色法结合Laplace图像分割处理方法可以还原初始图像中的不清晰细节,增强图像整体对比度;通过体视学分析提出合适的骨料修正系数,有效分析再生混合料的级配组成,为完善再生沥青混合料设计提供参考。
[Abstract]:In view of the unstable nature of recycled asphalt mixture caused by uneven mixing of new and old aggregates, a chemical staining method is proposed to distinguish new and old aggregates, and a variety of threshold segmentation methods are compared and analyzed. On the basis of analyzing different volume components of recycled asphalt mixture by image method, a digital image segmentation and processing method based on Laplace is proposed, which combines stereological analysis to realize 3D entity conversion to two-dimensional digital image. The gradation design of recycled asphalt mixture is carried out. The results show that the chemical staining method combined with the Laplace image segmentation method can restore the indistinct details in the initial image, enhance the overall contrast of the image, and put forward the appropriate aggregate correction coefficient through stereological analysis. The gradation composition of recycled asphalt mixture is analyzed effectively, which provides a reference for improving the design of recycled asphalt mixture.
【作者单位】：长安大学交通铺面材料教育部工程研究中心;普渡大学建筑管理学院;青海省交通科学研究院;
【基金】：国家自然科学基金资助项目(51208047,51408047) 中国博士后科学基金资助项目(2015T81000) 青海省科技计划项目(2014-GX-A2A) 广西防灾减灾与结构安全重点实验室开放课题项目(2014ZDK004)
【分类号】：U414

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