Abstract
This paper shows that an algorithm technique involving image classification and valley-edge based image segmentation is a highly efficient way of delineating densely packed rock fragments. No earlier work on segmentation of rock fragments has exploited these two building blocks for making robust segmentation. Our method has been tested experimentally for different kinds of closely packed fragment images which are difficult to detect by ordinary edge detections. The reason for the powerfulness of the technique is that image classification (knowledge of scale) and image segmentation are highly cooperative processes. Moreover, valley-edge detection is a nonlinear filter picking up evidence of valley-edge by only considering the strongest response for a number of directions. As tested, the algorithm can be applied into other applications too.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gallagher, E.: Optoelectronic coarse particle size analysis for industrial measurement and control. Ph.D. thesis, University of Queensland, Dept. of Mining and Metallurgical Engineering (1976)
Franklin, J.A., Kemeny, J.M., Girdner, K.K.: Evolution of measuring systems: A review. In: Franklin, J.A., Katsabanis, T. (eds.) Measurement of Blast Fragmentation, Rotterdam, Balkema, pp. 47–52 (1996)
Schleifer, J., Tessier, B.: Fragmentation Assessment using the FragScan System: Quality of a Blast. Int. J. Fragblast 6(3-4), 321–331 (2002)
Kemeny, J., Mofya, E., Kaunda, R., Lever, P.: Improvements in Blast Fragmentation Models Using Digital Image Processing. Int. J. Fragblast 6(3-4), 311–320 (2002)
Maerz, N.H., Palangio, T.W.: Post-Muckpile, Pre-Primary Crusher, Automated Optical Blast Fragmentation Sizing. Int. J. Fragblast 8(2), 119–136 (2004)
Pal, N.R., Pal, S.K.: A review of image segmentation techniques. Int. J. Pattern Recognition 26(9), 1277–1294 (1993)
Wang, W.X.: Image analysis of aggregates. J. Computers & Geosciences 25, 71–81 (1999)
Wang, W.X.: Binary image segmentation of aggregates based on polygonal approximation and classification of concavities. Int. J. Pattern Recognition 31(10), 1503–1524 (1998)
Otsu, N.: A threshold selection method from gray-level histogram. IEEE Trans. Systems Man Cybernet, SMC-9, 62–66 (1979)
Suk, M., Chung, S.M.: A new image segmentation technique based on partition mode test. Int. J. Pattern Recognition 16(5), 469–480 (1983)
Canny, J.F.: A computational approach to edge detection. Int. J. PAMI-8(6) (1986)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, W. (2005). Image Classification and Delineation of Fragments. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_130
Download citation
DOI: https://doi.org/10.1007/11596981_130
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30819-5
Online ISBN: 978-3-540-31598-8
eBook Packages: Computer ScienceComputer Science (R0)