Phase segmentation of X-ray computer tomography rock images using machine learning techniques: an accuracy and performance study
Performance and accuracy of machine learning techniques to segment rock grains, matrix and pore voxels from a 3-D volume of X-ray tomographic (XCT) grayscale rock images was evaluated. The segmentation and classification capability of unsupervised (<i>k</i>-means, fuzzy <i>c</i&...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-07-01
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| Series: | Solid Earth |
| Online Access: | http://www.solid-earth.net/7/1125/2016/se-7-1125-2016.pdf |