Gutenberg Open Science: Beam-hardening correction by a surface fitting and phase classification by a least square support vector machine approach for tomography images of geological samples

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7371

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DC Field	Value	Language
dc.contributor.author	Khan, F.	-
dc.contributor.author	Enzmann, Frieder	-
dc.contributor.author	Kersten, Michael	-
dc.date.accessioned	2022-07-12T07:48:15Z	-
dc.date.available	2022-07-12T07:48:15Z	-
dc.date.issued	2015	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/7385	-
dc.description.abstract	In X-ray computed microtomography (μXCT) image processing is the most important operation prior to image analysis. Such processing mainly involves artefact reduction and image segmentation. We propose a new two-stage post-reconstruction procedure of an image of a geological rock core obtained by polychromatic cone-beam μXCT technology. In the first stage, the beam-hardening (BH) is removed applying a best-fit quadratic surface algorithm to a given image data set (reconstructed slice), which minimizes the BH offsets of the attenuation data points from that surface. The final BH-corrected image is extracted from the residual data, or the difference between the surface elevation values and the original grey-scale values. For the second stage, we propose using a least square support vector machine (a non-linear classifier algorithm) to segment the BH-corrected data as a pixel-based multi-classification task. A combination of the two approaches was used to classify a complex multi-mineral rock sample. The Matlab code for this approach is provided in the Appendix. A minor drawback is that the proposed segmentation algorithm may become computationally demanding in the case of a high dimensional training data set.	en_GB
dc.description.sponsorship	DFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin	de
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/3.0/	*
dc.subject.ddc	550 Geowissenschaften	de_DE
dc.subject.ddc	550 Earth sciences	en_GB
dc.title	Beam-hardening correction by a surface fitting and phase classification by a least square support vector machine approach for tomography images of geological samples	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-7371	-
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 09 Chemie, Pharmazie u. Geowissensch.	de
jgu.organisation.number	7950	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	Solid earth discussions	de
jgu.journal.volume	7	de
jgu.journal.issue	4	de
jgu.pages.start	3383	de
jgu.pages.end	3408	de
jgu.publisher.year	2015	-
jgu.publisher.name	Copernicus Publ.	de
jgu.publisher.place	Göttingen	de
jgu.publisher.uri	http://dx.doi.org/10.5194/sed-7-3383-2015	de
jgu.publisher.issn	1869-9537	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	550	de
opus.date.modified	2018-08-22T07:53:17Z	-
opus.subject.dfgcode	00-000	-
opus.organisation.string	FB 09: Chemie, Pharmazie und Geowissenschaften: Institut für Geowissenschaften	de_DE
opus.identifier.opusid	52629	-
opus.institute.number	0902	-
opus.metadataonly	false	-
opus.type.contenttype	Keine	de_DE
opus.type.contenttype	None	en_EN
opus.affiliated	Enzmann, Frieder	-
opus.affiliated	Kersten, Michael	-
jgu.publisher.doi	10.5194/sed-7-3383-2015	de
jgu.organisation.ror	https://ror.org/023b0x485
Appears in collections:	DFG-OA-Publizieren (2012 - 2017)

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