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Advanced segmentation algorithms for the three-dimensional analysis of X-ray CT data from geomaterials

Loes Brabant (UGent) , Jelle Vlassenbroeck (UGent) , Tim De Kock (UGent) , Manuel Dierick (UGent) , Veerle Cnudde (UGent) and Luc Van Hoorebeke (UGent)
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Abstract
X-ray Computed Tomography (CT) is a non-destructive technique which enables the visualization of the internal structure of all kinds of samples, including geological samples. Additionally, the resulting datasets can be analyzed to obtain quantitative information. As geological samples often contain different components such as different minerals, pores and a matrix, accurate segmentation techniques are of the utmost importance in order to obtain correct results. This paper illustrates the use of advanced segmentation algorithms applied on a Belgian glauconite-rich sandstone, the Beerlegem fieldstone. These segmentation algorithms allow extraction of the different grains in the stone, setting the stage for further analysis.

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Chicago
Brabant, Loes, Jelle Vlassenbroeck, Tim De Kock, Manuel Dierick, Veerle Cnudde, and Luc Van Hoorebeke. 2011. “Advanced Segmentation Algorithms for the Three-dimensional Analysis of X-ray CT Data from Geomaterials.” In Mathematical Geosciences at the Crossroads of Theory and Practice : Proceedings IAMG 2011 Conference, ed. Robert Maschallinger and Fritz Zobl, 452–459. International Association for Mathematical Geosciences (IAMG).
APA
Brabant, L., Vlassenbroeck, J., De Kock, T., Dierick, M., Cnudde, V., & Van Hoorebeke, L. (2011). Advanced segmentation algorithms for the three-dimensional analysis of X-ray CT data from geomaterials. In R. Maschallinger & F. Zobl (Eds.), Mathematical geosciences at the crossroads of theory and practice : proceedings IAMG 2011 conference (pp. 452–459). Presented at the IAMG 2011 : Mathematical geosciences at the crossroads of theory and practice, International Association for Mathematical Geosciences (IAMG).
Vancouver
1.
Brabant L, Vlassenbroeck J, De Kock T, Dierick M, Cnudde V, Van Hoorebeke L. Advanced segmentation algorithms for the three-dimensional analysis of X-ray CT data from geomaterials. In: Maschallinger R, Zobl F, editors. Mathematical geosciences at the crossroads of theory and practice : proceedings IAMG 2011 conference. International Association for Mathematical Geosciences (IAMG); 2011. p. 452–9.
MLA
Brabant, Loes, Jelle Vlassenbroeck, Tim De Kock, et al. “Advanced Segmentation Algorithms for the Three-dimensional Analysis of X-ray CT Data from Geomaterials.” Mathematical Geosciences at the Crossroads of Theory and Practice : Proceedings IAMG 2011 Conference. Ed. Robert Maschallinger & Fritz Zobl. International Association for Mathematical Geosciences (IAMG), 2011. 452–459. Print.
@inproceedings{2043976,
  abstract     = {X-ray Computed Tomography (CT) is a non-destructive technique which enables the visualization of the internal structure of all kinds of samples, including geological samples. Additionally, the resulting datasets can be analyzed to obtain quantitative information. As geological samples often contain different components such as different minerals, pores and a matrix, accurate segmentation techniques are of the utmost importance in order to obtain correct results.
This paper illustrates the use of advanced segmentation algorithms applied on a Belgian glauconite-rich sandstone, the Beerlegem fieldstone. These segmentation algorithms allow extraction of the different grains in the stone, setting the stage for further analysis.},
  author       = {Brabant, Loes and Vlassenbroeck, Jelle and De Kock, Tim and Dierick, Manuel and Cnudde, Veerle and Van Hoorebeke, Luc},
  booktitle    = {Mathematical geosciences at the crossroads of theory and practice : proceedings IAMG 2011 conference},
  editor       = {Maschallinger, Robert and Zobl, Fritz},
  language     = {eng},
  location     = {Salzburg, Austria},
  pages        = {452--459},
  publisher    = {International Association for Mathematical Geosciences (IAMG)},
  title        = {Advanced segmentation algorithms for the three-dimensional analysis of X-ray CT data from geomaterials},
  url          = {http://dx.doi.org/10.5242/iamg.2011.0031},
  year         = {2011},
}

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