Flotation Froth Image Analysis by Use of a Dynamic Feature Extraction Algorithm

Author:

Fu Yihao,Aldrich Chris

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference21 articles.

1. Ahonen, T., Hadid, A. and Pietikäinen, M. (2006). Face description with local binary patterns: Application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 2037–2041.

2. Relationship between surface froth features and process conditions in the batch flotation of a sulphide ore.;Aldrich;Minerals Engineering,1997

3. Aldrich, C., Smith, L.K., Verrelli, D.I., Bruckard, W.J., Kistner, M. and Auret, L. (2014). Grade estimation in realgar-orpiment batch flotation systems by froth image analysis and kernel methods. Proceedings of the 27th International Minerals Processing Congress (IMPC 2014), Chapter 4, 14-22, Santiago, Chile, 20-24 October.

4. Online monitoring and control of froth flotation systems with machine vision: A review;Aldrich;International Journal of Mineral Processing,2010

5. Almaev, T.R. and Valstar, M. (2013). Local Gabor binary patterns from three orthogonal planes for automatic facial expression recognition. Conference on Affective Computing and Intelligent Interaction (ACII), 356-361.

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