Identification and sizing of the entirely visible rocks from a 3D surface data segmentation of laboratory rock piles

Computer Vision and Image Understanding

Volumn 111, Issue 2, 2008, Pages 170-178

  Thurley, Matthew J ^a   Ng, Kim C ^b  

^a LULEÅ UNIVERSITY OF TECHNOLOGY   (Sweden)

^b MONASH UNIVERSITY   (Australia)

Author keywords

3D profile; Boundary following; Classification; Image segmentation; Region visibility; Rock sizing

Indexed keywords

OPTICAL PROPERTIES; PILES; VISIBILITY;

3D SURFACES; LITERATURE REVIEWS; REGION BOUNDARIES; SURFACE ROCKS;

ROCKS;

EID: 47049090526     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2007.09.009     Document Type: Article

References (24)

1. N.H. Maerz, J.A. Franklin, L. Rothenburg, D. Coursen, Measurement of rock fragmentation by digital photoanalysis, in: Proceedings of the Congress of the International Society of Rock Mechanics, vol. 6, no. 1, 1987, pp. 687-692.
2. W.X. Wang, O. Stephansson, Comparison between sieving and image analysis of aggregates, in: J.A. Franklin, T. Katsabanis (Eds.), Measurement of Blast Fragmentation, Proceedings of the FRAGBLAST 5 Workshop, Balkema, 1996, pp. 141-148.
3. Rosato A., Strandburg K.J., Prinz F., and Swendsen R.H. When the Brazil nuts are on top: Size segregation of particulate matter by shaking. Physical Review Letters 58 10 (1987)
4. Wikipedia, Brazil nut effect, , June 2007.
5. R. Chavez, N. Cheimanoff, J. Schleifer, Sampling problems during grain size distribution measurements, in: Proceedings of the Fifth International Symposium on Rock Fragmentation by Blasting - FRAGBLAST 5, August 1996, Montreal, Que., Canada, 1996, pp. 245-252.
6. M.J. Thurley, K.C. Ng, Modelling the relationship between the surface fragments and the pile size distribution in laboratory rock piles, .
7. M.J. Thurley, Three Dimensional Data Analysis for the Separation and Sizing of Rock Piles in Mining, Ph.D. Thesis, Monash University, December 2002, .
8. M.J. Thurley, On-line 3d surface measurement of iron ore green pellets, in: Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation, IEEE Computer Society, 2006.
9. Thurley M.J., and Ng K.C. Identifying, visualizing, and comparing regions in irregularly spaced 3d surface data. Computer Vision and Image Understanding 98 2 (2005) 239-270 February
10. J.A. Franklin, T. Katsabanis, A. Rustan, Preface, in: J.A. Franklin, T. Katsabanis (Eds.), Measurement of Blast Fragmentation, Proceedings of the FRAGBLAST 5 Workshop, Balkema, 1996, pp. 3-4.
11. N.H. Maerz, T.C. Palangio, J.A. Franklin, Wipfrag image based granulometry system, in: J.A. Franklin, T. Katsabanis (Eds.), Measurement of Blast Fragmentation, Proceedings of the FRAGBLAST 5 Workshop, Balkema, 1996, pp. 91-99.
12. J. Schleifer, B. Tessier, Fragmentation assessment using the Fragscan system: Quality of a blast, in: Explo 2001, Explosives in Mining Conference, October 2001, Hunter Valley, NSW, Australia, AusIMM, 2001, pp. 365-372.
13. J. Kemeny, E. Mofya, R. Kaunda, P. Lever, Improvements in blast fragmentation models using digital image processing, Explo 2001, Explosives in Mining Conference, October 2001, Hunter Valley, NSW, Australia, AusIMM, 2001, pp. 357-363.
14. W.X. Wang, O. Stephansson, On-line system for monitoring the size distribution of aggregates on a conveyor belt, in: J.A. Franklin, T. Katsabanis (Eds.), Measurement of Blast Fragmentation, Proceedings of the FRAGBLAST 5 Workshop, Balkema, 1996, pp. 167-174.
15. R.A. Salinas, U. Raff, C. Farfan, Automated estimation of rock fragment distributions using computer vision and its application in mining, in: IEE Proceedings: Vision, Image and Signal Processing, vol. 152, no. 1, 2005.
16. C.V.B. Cunningham, Keynote address: optical fragmentation assessment - a technical challenge, in: J.A. Franklin, T. Katsabanis (Eds.), Measurement of Blast Fragmentation, Proceedings of the FRAGBLAST 5 Workshop, Balkema, 1996, pp. 13-19.
17. Fernlund J.M.R. The effect of particle form on sieve analysis: a test by image analysis. Engineering Geology 50 (1998) 111-124
18. J.R.J. Lee, M.L. Smith, L.N. Smith, P.S. Midha, A mathematical morphology approach to image based 3d particle shape analysis, in: Machine Vision and Applications, vol. 16, no. 5, Springer-Verlag, Berlin, 2005, pp. 282-288.
19. Kim H., Haas C.T., Rauch A.F., and Browne C. 3d image segmentation of aggregates from laser profiling. Computer Aided Civil and Infrastructure Engineering (2003) 254-263
20. Kim H., Rauch A.F., and Haas C.T. Automated quality assessment of stone aggregates based on laser imaging and a neural network. Journal of Computing in Civil Engineering (2004) 58-64
21. I. Frydendal, R. Jones, Segmentation of sugar beets using image and graph processing, in: ICPR 98 Proceedings of 14th International Conference on Pattern Recognition, vol. II, Brisbane, Australia, 1998, pp. 16-20.
22. Alexander B.F., and Ng K.C. 3-D shape measurement by active triangulation using an array of coded light stripes. SPIE Optics. Illumination and Image Sensing for Machine Vision II 850 (1987) 199-209
23. J.W. Tukey, Exploratory Data Analysis, Chapter Box-and-Whisker Plots 2C, Addison-Wesley, Reading, MA, 1977. Citation referenced from .
24. W. Wang, F. Bergholm, O. Stephansson, Image analysis of fragment size and shape, in: J.A. Franklin, T. Katsabanis (Eds.), Measurement of Blast Fragmentation, in: Proceedings of the FRAGBLAST 5 Workshop, Balkema, 1996, pp. 233-243.