| Autor: |
Everton Lucas-Oliveira, Mariane Barsi-Andreeta, Rodrigo F. Neumann, Willian A. Trevizan, Mathias B. Steiner, Tito J. Bonagamba |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Data in Brief, Vol 41, Iss , Pp 107893- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3409 |
| DOI: |
10.1016/j.dib.2022.107893 |
| Popis: |
High-resolution computed micro-tomography is an important area of science, which correlates well with several experimental methodologies and serves as a basis for advanced computational physics studies, in which high-resolution images are used as input to different scientific simulation models. The dataset presented herein includes (raw) grayscale images obtained using the Bruker Skyscan 1272 X-Ray tomograph; filtered images acquired through contrast enhancement and noise reduction filters; and segmented images obtained by using the IsoData segmentation method. All images have a resolution of 2.25 µm (isometric voxels) and size of 10003 voxels. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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