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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-03-01
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| Series: | Solid Earth |
| Online Access: | http://www.solid-earth.net/7/481/2016/se-7-481-2016.pdf |