Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples

Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples

Image processing of X-ray-computed polychromatic cone-beam micro-tomography (<i>μ</i>XCT) data of geological samples mainly involves artefact reduction and phase segmentation. For the former, the main beam-hardening (BH) artefact is removed by applying a best-fit quadratic surface algori...

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Bibliographic Details
Main Authors:	F. Khan, F. Enzmann, M. Kersten
Format:	Article
Language:	English
Published:	Copernicus Publications 2016-03-01
Series:	Solid Earth
Online Access:	http://www.solid-earth.net/7/481/2016/se-7-481-2016.pdf

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