Modeling of texture and color froth characteristics for evaluation of flotation performance in sarcheshmeh copper pilot plant using image analysis and neural networks

International Journal of Engineering, Transactions B: Applications

Volumn 17, Issue 2, 2004, Pages 121-130

  Saghatoleslam, N ^a   Karimi, H ^a   Rahimi, R ^a   Shirazi, H H A ^b  

^a UNIVERSITY OF SISTAN AND BALUCHESTAN   (Iran)

^b SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

Copper concentration; Digital image processing; Froths flotation; Neural networks

Indexed keywords

CONCENTRATION (PROCESS); COPPER ORE TREATMENT; IMAGE ANALYSIS; NEURAL NETWORKS; PILOT PLANTS; TEXTURES;

COLOR FROTH; COPPER CONCENTRATION; FLOTATION CELLS;

FROTH FLOTATION;

EID: 34247167999     PISSN: 1728-144X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Moolman, D. W., Aldrich, C., Van Deventer, J. S. J. and Stange, W., "Digital Image Processing as Tool for On-Line Monitoring of Froth in Flotation Plants", Minerals Eng., Vol. 7, No. 9, (1994), 1149-1164.
2. Van Deventer, J. S. J., Bezuidenhout, M. and Moolman, D. W., "On-Line Visualization Flotation Performance Using Neural Computer Vision of the Froth Texture", Min. Cong., Aachen, Germany, (1997), 315-326.
3. Bonifazi, G., Serranti, S., Volpe, F. and Zuco, R., " Characterization of Flotation Froth Color and Structure by Machine Vision", Computers and Geosciences, in press, (2000).
4. Bonifazi, G., et. al., "Characterization of the Flotation Froth Structure and Color by Machine Vision (CHACO)", Proc. XXI Int. Min. Proc. Cong., (2001), C8a-39-C8a49.
5. Castleman, Kenneth R. "Digital Image Processing", McGraw-Hill Book Company, N. Y., (1996).
6. Bonifazi, G., Massascci, P. and Meloni, A., "3D Froth Modeling by Image Analysis", Proc. XXI Int. Min. Proc. Cong., (2001), B8a-178-B8a189.
7. Saghatoleslami, N., Karimi, H., Rahimi, R. and Shirazi, H. A., "Quantitative Experimental Investigation of the Effect of Operating Conditions on the Froth Structure in Copper Flotation Process, using Image Analysis", Iranian J. of Chemistry and Chemical Eng., In press, (2004).
8. Moolman, D. W., Ekesteen, J. J., Aldrich, C. and Van Deventer, J. S. J., "The Significance of Flotation Froth Appearnce for Machine Vision Control", Int. J. Miner. Process, Vol. 48, (1996), 135-158.