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Proceedings Paper

Machine vision methods for the grading of crushed aggregate
Author(s): Xiaoyu Qiao; Fionn D. Murtagh; Danny Crookes; Paul Walsh; P. A. Muhammed Basheer; Adrian Long
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Paper Abstract

We address the problems of (1) segmenting coarse from fine granularity materials, and (2) discriminating between materials of different granularities. For the former we use wavelet features, and an enhanced version of the widely used EM algorithm. A weighted Gaussian mixture model is used, with a second order spatial neighborhood. For granularity discrimination we investigate the use of multiresolution entropy. We illustrate the good results obtained with a number of practical cases.

Paper Details

Date Published: 19 March 2003
PDF: 7 pages
Proc. SPIE 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision, (19 March 2003); doi: 10.1117/12.467440
Show Author Affiliations
Xiaoyu Qiao, Queen's Univ. Belfast (United Kingdom)
Fionn D. Murtagh, Queen's Univ. Belfast (United Kingdom)
Danny Crookes, Queen's Univ. Belfast (United Kingdom)
Paul Walsh, Queen's Univ. Belfast (United Kingdom)
P. A. Muhammed Basheer, Queen's Univ. Belfast (United Kingdom)
Adrian Long, Queen's Univ. Belfast (United Kingdom)

Published in SPIE Proceedings Vol. 4877:
Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision
Andrew Shearer; Fionn D. Murtagh; James Mahon; Paul F. Whelan, Editor(s)

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