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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.

Advanced Segmentation Algorithms for the Three-Dimensional Analysis of X-Ray CT Data from Geomaterials