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Detection of grain boundaries in snow from 3D images

Grain boundaries play an essential role in snow mechanics. As the weakest link in the structure they have a huge impact on snow properties. We present a method to identify grain boundaries in three dimensions from volumetric micro-CT images based on their characteristic neck-like shape. The method will be useful to calculate the grain boundary surface and the effective bond thickness which can be used to simplify snow geometry as input for numerical models.

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Keywords:

grain boundaries, snow, image processing