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

Loes Brabant, Jelle Vlassenbroeck, Tim De Kock, Manuel Dierick, Veerle Cnudde, Luc Van Hoorebeke

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.
Original languageEnglish
Title of host publicationMathematical geosciences at the crossroads of theory and practice : proceedings IAMG 2011 conference
EditorsRobert Maschallinger, Fritz Zobl
PublisherInternational Association for Mathematical Geosciences (IAMG)
Pages452-459
Number of pages8
Publication statusPublished - 2011

Fingerprint

Dive into the research topics of 'Advanced segmentation algorithms for the three-dimensional analysis of X-ray CT data from geomaterials'. Together they form a unique fingerprint.

Cite this