Improving the Result of Asphalt Mixtures Density Derived from CT Images Using Fuzzy Thresholding

Document Type : Research Article


Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran


Density, as a one of the important factors affecting the performance of asphalt mixture has a significant impact on the pavement serviceability. Numerous studies on computed tomography (CT) scan images of asphalt mixtures are done; however, due to the ambiguous nature at the edge of aggregates, the processing of images contains uncertainty. Static and dynamic thresholding techniques that have been conducted by previous studies were also unable to resolve and handle the ambiguity. The aim of this study is enhance the results using a new fuzzy thresholding model for separation of components and analyze the density of asphalt mixture. The analysis indicates that fuzzy threshold provides more accurate results. It was also found that, the density of asphalt mixture were determined with less than 2% error.


Main Subjects

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