An industrial 3D vision system for size measurement of iron ore green pellets using morphological image segmentation

Minerals Engineering

Volumn 21, Issue 5, 2008, Pages 405-415

  Thurley, Matthew J ^a   Andersson, Tobias ^a  

^a LULEÅ UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

On line analysis; Particle size

Indexed keywords

IMAGE ANALYSIS; IMAGE SEGMENTATION; ORE PELLETS; PARTICLE SIZE; SIZE DISTRIBUTION;

IRON ORE GREEN PELLETS; ON-LINE ANALYSIS; PILED PELLETS;

IRON ORES;

EID: 40849105016     PISSN: 08926875     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mineng.2007.10.020     Document Type: Article

References (29)

1. Andersson T., Thurley M., and Marklund O. Pellet size estimation using spherical fitting. In: Proceedings of the IEEE Instrumentation and Measurement Technology Conference (2007), IEE 1-5
2. Andersson, T., Thurley, M., Marklund, O., 2007. Visibility classification of pellets in piles for sizing without overlapped particle error. In: Digital Image Computing: Techniques and Applications Conference Proceedings, DICTA 2007. Australian Pattern Recognition Society.
3. Blomquist, M., Wernerson, A., 1999. Range camera on conveyor belts: estimating the size distribution and systematic errors due to occlusion. In: Proceedings of the SPIE - The International Society for Optical Engineering, pp. 118-126.
4. Bouajila, A., Bourassa, M., Boivin, J., Ouellet, G., Martinovic, T., 1999. On-line non-intrusive measurement of green pellet diameter. In: Ironmaking Conference Proceedings, pp. 1009-1020.
5. Chavez, R., Cheimanoff, N., Schleifer, J., 1996. Sampling problems during grain size distribution measurements. In: Proceedings of the Fifth International Symposium on Rock Fragmentation by Blasting - FRAGBLAST 5, Montreal, Quebec, Canada, pp. 245-252.
6. Dougherty, E.R., Lotufo, R.A., 2003. Hands-on Morphological Image Processing, vol. TT59. SPIE - The International Society for Optical Engineering.
7. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification. second ed. (2001), Wiley. 0-471-05669-3
8. Frydendal, I., Jones, R., 1998. Segmentation of sugar beets using image and graph processing. In: ICPR 98 Proceedings - Fourteenth International Conference on Pattern Recognition, Brisbane, Australia, vol. II, pp. 16-20.
9. Johnson D.E. Applied Multivariate Methods for Data Analysts (1998), Duxbury Press. 0-534-23796-7
10. Kemeny, J., Mofya, E., Kaunda, R., Lever, P., 2001. Improvements in blast fragmentation models using digital image processing. In: Explo, 2001. Explosives in Mining Conference, AusIMM, Hunter Valley, NSW, Australia. pp. 357-363.
11. Kim H., Haas C., Rauch A., and Browne C. 3D image segmentation of aggregates from laser profiling. Computer Aided Civil and Infrastructure Engineering (2003) 254-263
12. Lee, J., Smith, M., Smith, L., Midha, P., 2005. A mathematical morphology approach to image based 3D particle shape analysis. In: Machine Vision and Applications. vol. 16 (5), Springer-Verlag, 282-288.
13. Maerz, N., Palangio, T., Franklin, J., 1996. Wipfrag image based granulometry system. In: Franklin, J., Katsabanis, T. (Eds.), Measurement of Blast Fragmentation - Proceedings of the FRAGBLAST 5 Workshop. Balkema. pp. 91-99.
14. Nelder J., and Mead R. A simplex method for function minimisation. The Computer Journal 7 (1965) 308-313
15. Ökvist, L., Dahlstedt, A., Hallin, M., 2001. The effect on blast furnace process of changed pellet size as a result of segregation in raw material handling. In: Ironmaking Conference Proceedings. pp. 167-178.
16. Rosato A., Strandburg K., Prinz F., and Swendsen R. Why the brazil nuts are on top: size segregation of particulate matter by shaking. Physical Review Letters 58 10 (1987)
17. R Project, 2005. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0. .
18. Salinas, R.A., Raff, U., Farfan, C., 2005. Automated estimation of rock fragment distributions using computer vision and its application in mining. In: IEE Proceedings: Vision, Image and Signal Processing, vol. 152 (1), pp. 1-8.
19. Schleifer, J., Tessier, B., 2001. Fragmentation assessment using the Fragscan system: quality of a blast. In: Explo, 2001. Explosives in Mining Conference, AusIMM, Hunter Valley, NSW, Australia. pp. 365-372.
20. Thurley M., and Ng K. Identifying, visualizing, and comparing regions in irregularly spaced 3D surface data. Computer Vision and Image Understanding 98 2 (2005) 239-270
21. Thurley, M., Ng, K., Minack, J., 1999. Mathematical morphology implemented for discrete, irregular 3D surface data. In: DICTA 99, Digital Image Computing: Techniques and Applications Conference Proceedings, Fifth Biennial Conference, Australian Pattern Recognition Society, Curtin University, Perth, Western Australia, pp. 16-20.
22. Thurley, M.J., 2002. Three Dimensional Data Analysis for the Separation and Sizing of Rock Piles in Mining. Ph.D. Thesis, Monash University. .
23. Tomick, J., Arnold, S., Barton, R., 1995. Sample size selection for improved Nelder-Mead performance. In: Proceedings of the Winter Simulation Conference, pp. 341-345.
24. Tukey, J.W., 1977. Exploratory Data Analysis. Addison-Wesley, Ch. Box-and-Whisker Plots 2C, pp. 39-43, ISBN:0-201-07616-0.
25. Wang W. Image analysis of particles by modified ferret method - best-fit rectangle. Power Technology (2006) 1-10
26. Wang, W., Bergholm, F., Stephansson, O., 1996. Image analysis of fragment size and shape. In: Franklin, J., Katsabanis, T. (Eds.), Measurement of Blast Fragmentation - Proceedings of the FRAGBLAST 5 Workshop. Balkema. pp. 233-243.
27. Wikipedia, 2007a. 3D scanner. .
28. Wikipedia, 2007b. Boxplot. .
29. Wikipedia, 2007c. Brazil nut effect. .