Machine vision methods for the grading of crushed aggregate

Xiaoyu Qiao; Fionn D. Murtagh; Danny Crookes; Paul Walsh; P. A. Muhammed Basheer; Adrian Long

doi:10.1117/12.467440

19 March 2003 Machine vision methods for the grading of crushed aggregate

Xiaoyu Qiao, Fionn D. Murtagh, Danny Crookes, Paul Walsh, P. A. Muhammed Basheer, Adrian Long

Proceedings Volume 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision; (2003) https://doi.org/10.1117/12.467440
Event: OPTO Ireland, 2002, Galway, Ireland

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.

Citation Download Citation

Xiaoyu Qiao, Fionn D. Murtagh, Danny Crookes, Paul Walsh, P. A. Muhammed Basheer, and Adrian Long "Machine vision methods for the grading of crushed aggregate", Proc. SPIE 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision, (19 March 2003); https://doi.org/10.1117/12.467440

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