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Digital Battery Development / Re: Rescale Simulation Domain by Decimal Numbers
« on: July 09, 2025, 06:17:53 PM »
Dear Caroline,
in the case, that you only have a gdt-Structure, that you want to rescale, and that you have no gray value images or GAD objects, you can also use another method to rescale the gdt-structure by using ImportGeo-Vol.
However, you need to be aware that this workflow can create unwanted artefacts, especially when you do a significant change in voxel length. Please check the structure after rescaling that it is still functional for you. If it is possible, it is better to do the re-scaling on gray value images when importing them into GeoDict, as Jürgen mentioned above.
Best, Roman
in the case, that you only have a gdt-Structure, that you want to rescale, and that you have no gray value images or GAD objects, you can also use another method to rescale the gdt-structure by using ImportGeo-Vol.
- Import the original GDT-file (GeoDict will automatically detect the original voxel length)
- You need to use the Filter Image Size -> Scale
- Re-sampled Length: enter desired target voxel length
- Scale Function: It is important that you use the Scale Function “Nearest Neighbor” that this works properly.
- More infos about the filter can be found in the User Guide of ImportGeo-Vol: https://geodict-userguide.math2market.de/2025/importgeo-vol_link.html
- Choose in “Segmentation & Labeling” -> Image Segmentation -> Global Thresholding -> Multiple Thresholds -> Number of Thresholds like the number of Material IDs that you had in your original structure minus one (example below was for 3 different material IDs)
- Press “Create Segmentation” and you are done
However, you need to be aware that this workflow can create unwanted artefacts, especially when you do a significant change in voxel length. Please check the structure after rescaling that it is still functional for you. If it is possible, it is better to do the re-scaling on gray value images when importing them into GeoDict, as Jürgen mentioned above.
Best, Roman