Murtagh, Fionn, Qiao, X., Crookes, D., Walsh, P., Basheer, P.A.M., Long, A. and Starck, J.L. (2005) A machine vision approach to the grading of crushed aggregate. Machine Vision and Applications, 16 (4).
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The grading of crushed aggregate is carried out usually by sieving. We describe a new image-based approach to the automatic grading of such materials. The operational problem addressed is where the camera is located directly over a conveyor belt. Our approach characterizes the information content of each image, taking into account relative variation in the pixel data, and resolution scale. In feature space, we find very good class separation using a multidimensional linear classifier. The innovation in this work includes (i) introducing an effective image-based approach into this application area, and (ii) our supervised classification using wavelet entropy-based features.
This is a Submitted version This version's date is: 2005 This item is not peer reviewed
https://repository.royalholloway.ac.uk/items/245c5b75-4130-d903-4ffa-570f47c900d8/2/
Deposited by Research Information System (atira) on 24-May-2012 in Royal Holloway Research Online.Last modified on 24-May-2012