Synthetic Data » History » Version 9
Sargis Dallakyan, 11/26/2019 05:55 PM
| 1 | 1 | Anke Mulder | h1. Synthetic Data |
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| 3 | 7 | Dmitry Lyumkis | This section enables the user to create a synthetic projection dataset from an input 3D model with the application of randomized rotations and translations, white Gaussian noise, as well as an envelope and contrast transfer function. |
| 4 | 5 | Dmitry Lyumkis | |
| 5 | 6 | Dmitry Lyumkis | h2. Synthetic Dataset Creation: |
| 6 | 5 | Dmitry Lyumkis | |
| 7 | 8 | Dmitry Lyumkis | # [[Synthetic Dataset Creation|Synthetic Dataset Creation]]: create a synthetic dataset either from evenly distributed or axially preferred projections of a selected 3D model. |
| 8 | 5 | Dmitry Lyumkis | |
| 9 | 4 | Dmitry Lyumkis | h2. Appion SideBar Snapshot: |
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| 11 | 9 | Sargis Dallakyan | !Picture_1.png! |
| 12 | 1 | Anke Mulder | |
| 13 | h2. Notes, Comments, and Suggestions: |
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| 15 | 9 | Sargis Dallakyan | !Picture_81.png! |
| 16 | 2 | Anke Mulder | |
| 17 | ______ |
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| 19 | [[Appion Processing|< Appion Processing]] |
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| 21 | ______ |