Machine Learning Techniques for the Segmentation of Tomographic Image Data of Functional Materials
In this paper, various kinds of applications are presented, in which tomographic image data depicting microstructures of materials are semantically segmented by combining machine learning methods and conventional image processing steps. The main focus of this paper is the grain-wise segmentation of...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Frontiers Media S.A.
2019-06-01
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| Rangatū: | Frontiers in Materials |
| Ngā marau: | |
| Urunga tuihono: | https://www.frontiersin.org/article/10.3389/fmats.2019.00145/full |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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