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

Abstract:

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 .

• Periodical: Advanced Materials Research (Volume 831)
• Pages: 393-400
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.831.393
• Online since: December 2013
• Authors: Li Wen Zeng*, Shun Xian Zhang, Xiao Ning Zhang
• Keywords:

  Found Keywords

  Digital Image

  , Aggregate, Asphalt Mixture (AC), Computer Technology, Gaussian Mixture Model, Image Segmentation, Microstructure, Uniformity

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