Curvature-Driven Volumetric Segmentation of Binary Shapes: an Application to Snow Microstructure Analysis
Résumé
Many three-dimensional (3-D) image-based studies concerning granular and sintered materials require a description of the observed microstructures in terms of individual grains. We propose a robust segmentation algorithm which identify groove regions on the object’s surface in order to locate possible grain boundaries in the object’s volume. The algorithm relies on the vol- umetric propagation via Voronoi labeling of curvature information from the surface into the object1.