Extraction and Quantification of Features in XCT Datasets of Fibre Reinforced Polymers using Machine Learning Techniques
This master’s thesis shows the extraction, quantification and visual analysis of pores and individual fibres in fibre reinforced polymer (FRP)materials. The core methods used and advanced for this purpose are tailored deep learning techniques, which are coupled with interactive visualisation.These t...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-174684 |