  Understanding porous media flow is inherently a multi-scale challenge, where
at the core lies the aggregation of pore-level processes to a continuum, or
Darcy-scale, description. This challenge is directly mirrored in image
processing, where grains and interfaces may be clearly visible, yet continuous
parameters are desirable to measure. Classical image processing is poorly
adapted to this setting, as most techniques do not explicitly utilize the fact
that the image contains explicit physical processes.
  Here, we adapt classical image processing concepts to what we define as
physical images of porous materials and processes within them. This is realized
through the development of a new open-source image analysis toolbox
specifically adapted to time-series of images of porous materials.
