A mathematical morphology approach to image based 3D particle shape analysis

Lee, J. R J; Smith, M. L.; Smith, L. N.; Midha, P. S.

Abstract

Angularity is a critically important property in terms of the performance of natural particulate materials. It is also one of the most difficult to measure objectively using traditional methods. Here we present an innovative and efficient approach to the determination of particle angularity using image analysis. The direct use of three-dimensional data offers a more robust solution than the two-dimensional methods proposed previously. The algorithm is based on the application of mathematical morphological techniques to range imagery, and effectively simulates the natural wear processes by which rock particles become rounded. The analysis of simulated volume loss is used to provide a valuable measure of angularity that is geometrically commensurate with the traditional definitions. Experimental data obtained using real particle samples are presented and results correlated with existing methods in order to demonstrate the validity of the new approach. The implementation of technologies such as these has the potential to offer significant process optimisation and environmental benefits to the producers of aggregates and their composites. The technique is theoretically extendable to the quantification of surface texture.

Citation

Lee, J. R. J., Smith, M. L., Smith, L. N., & Midha, P. S. (2005). A mathematical morphology approach to image based 3D particle shape analysis. Machine Vision and Applications, 16(5), 282-288. https://doi.org/10.1007/s00138-005-0181-x

• Journal Article Type: Article
• Publication Date: Dec 1, 2005
• Journal: Machine Vision and Applications
• Print ISSN: 0932-8092
• Electronic ISSN: 1432-1769
• Publisher: Springer Verlag
• Peer Reviewed: Not Peer Reviewed
• Volume: 16
• Issue: 5
• Pages: 282-288
• DOI: https://doi.org/10.1007/s00138-005-0181-x
• Keywords: 3D particle analysis, 3D shape analysis, Mathematical morphology
• Public URL: https://uwe-repository.worktribe.com/output/1045939
• Publisher URL: http://dx.doi.org/10.1007/s00138-005-0181-x
• Additional Information: Additional Information : This work (undertaken with DTI Eureka project funding), enables accurate and objective evaluation of rock angularity, in contrast to the previous inaccurate and subjective approach of manual inspection. The techniques described have been incorporated into a system for real-time aggregate analysis that is being marketed worldwide. The system resulted in a patent application, and was described by the DTI as a �pioneering optoelectronic instrument' and one that could reduce the environmental impact of quarrying. (Company contacts: Thorgeir Helgason, Petromodel Ltd, Reykjavik, Iceland; Andrew Nevitt, RMC Aggregates (UK) Limited, Bromsgrove, Worcs.)