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In this paper a series of digital image processing methods were adopted for getting separated coarse aggregates from asphalt mixture specimen using high-resolution X-ray Computed Tomography (CT) images.The existing three dimensional (3D) particles matching methods based on two dimensional (2D) continuous cross-sections were analyzed and a new ’overlap area method’ was presented.After the 3D particles were extracted one by one successfully,the basic parameters of each aggregate:perimeter,area,surface area,and volume were calculated by chain code method.Finally,the 3D mass center coordinates and the sphericity index were introduced.
In this paper a series of digital image processing methods were taken for getting separated coarse aggregates from asphalt mixture specimen using high-resolution X-ray Computed Tomography (CT) images. The existing three dimensional (3D) particles matching methods based on two dimensional ( 2D) continuous cross-sections were analyzed and a new ’overlap area method’ was presented. After the 3D particles were extracted one by one successfully, the basic parameters of each aggregate: perimeter, area, surface area, and volume were calculated by chain code method.Finally, the 3D mass center coordinates and the sphericity index were introduced.