Examples#

Runnable, image-rich examples grouped by topic. Every page can be downloaded as a .py script or a Jupyter notebook from the links at the bottom.

Reading & writing images#

Loading optical photographs, DICOM stacks, NumPy arrays and simulation output into physical Image objects.

Example demonstrating the I/O capabilities of DarSIA, and in particular the reading

Example of reading and resampling vtu images corresponding

Calibrating colour and correcting geometric distortion (curvature, perspective, drift) of recorded images.

Denoising and regularising image data with total-variation and H1 methods.

Partitioning images of multi-layered porous media into labelled regions with watershed segmentation.

Recovering the displacement or deformation between two images, e.g. sand settling or compaction over the course of an experiment.

Determine deformation of FluidFlower by comparing two different images.

Turning image sequences into physical concentration, tracer and CO2 maps, and calibrating the underlying models.

Example script for simple image analysis. By comparison of images

Test phase segmentation, taken from FluidFlower analysis conducted in the work

Transport-aware image-to-image distances: the Earth Mover’s and Wasserstein distances and the Beckmann solvers behind them.

Earth Mover's / Wasserstein distance

Scripts reproducing figures from DarSIA publications. These are shown for reference and are not executed during the documentation build.

Comparisons of block b closed for dicom and vtu images.