Comparison of 2D and 3D image-based aggregate morphological indices

Date

2011-01-01

Author

Kutay, M. Emin
Öztürk, Hande Işık
Abbas, Ala R.
Hu, Chichun

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Significant progress has been made over the last two decades in the characterisation of aggregate shape using automated image analysis and processing methods. Aggregate shape characteristics have been quantified using three distinct shape parameters, namely the aggregate form, angularity and surface texture. Several mathematical procedures have been developed to quantify these parameters. For practical reasons, most of these procedures were limited to two-dimensional (2D) and utilised 2D aggregate images. This paper investigates the ability of some of the most widely used 2D aggregate form and angularity indices to describe the shape of five different types of aggregates (natural gravel, basalt, granite, diabase and slate). In addition, it provides a comparison between 2D and three-dimensional (3D) aggregate shape indices developed based on fitting the 3D aggregate shape using spherical harmonic functions.

Subject Keywords

X-ray computed tomography, AIMS, Aggregate, Image analysis, Hot mix asphalt

URI

https://hdl.handle.net/11511/42268

Journal

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING

DOI

https://doi.org/10.1080/10298436.2011.575137

Collections

Department of Civil Engineering, Article

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Citation Formats

M. E. Kutay, H. I. Öztürk, A. R. Abbas, and C. Hu, “Comparison of 2D and 3D image-based aggregate morphological indices,” INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, pp. 421–431, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42268.