Three dimensional particles identification and shape parameters research on coarse aggregates of asphalt mixture using X-ray CT images
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) cont...
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Veröffentlicht in: | 哈尔滨工业大学学报(英文版) 2011-10, Vol.18 (5), p.103-107 |
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Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | 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. |
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ISSN: | 1005-9113 |