1. Relationship between surface froth features and process conditions in the batch flotation of a sulphide ore;Aldrich;Minerals Engineering,1997
2. Online monitoring and control of froth flotation systems with machine vision: a review;Aldrich;International Journal of Mineral Processing,2010
3. Froth imaging, air recovery and bubble loading to describe flotation bank performance;Barbian;International Journal of Mineral Processing,2007
4. Neural Networks for Pattern Recognition;Bishop,1996
5. Duchesne, C., Bouajila, A., Bartolacci, G., Pelletier, P., Breau, Y., Fournier, J., Girard, D., 2003. Application of multivariate image analysis (MIA) to predict concentrate grade in froth flotation processes. In: Proceedings of the 35th Annual CMP Meeting, Ottawa, ON, Canada, January 21–23, pp. 511–526.