Unsupervised Feature Extraction from CT Images for Clustering of Geological Drill Core Samples
Computed tomography (CT) scanned drill cores provide a high resolution view of the internal structure and composition of the rock, which is interesting for many analysis purposes. Although, this data is very high dimensional and difficult to analyze in an automatic way. In this work, a study of how...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265543 |