ImportGeo-Vol transforms 3D images of real materials, captured through various techniques (such as micro-CT or FIB-SEM), into digital materials (digital twin). The resulting digital twin, for which one knows the material phase associated with each voxel, is the basis for further analysis and simulations with GeoDict.

The image processing workflow starts with the import of the image, which can be in the form of a 3D image file such as *.raw or as a 2D image stack like *.png or *.tif. Following the import, the image may undergo qualitative enhancements through various image processing steps. ImportGeo-Vol provides a complete solution for image processing providing state-of-the-art image filters, including the non-local means filter to reduce noise and specialized techniques to eliminate artifacts such as curtaining in FIB-SEM images. The final image processing step is image segmentation, where the available methods in ImportGeo-Vol range from simple automatic global thresholding to advanced AI-driven approaches based on neuronal networks.