Abstract
Segmentation of tomography images of granular materials has mostly been done without any semantic notion of the materials these images represent. Poor segmentation; undersegmentation or oversegmentation can be mitigated through the introduction of a prior that defines what a valid boundary between two labels should be.
In this paper, we present an approach to multiscale tomography segmentation of granular materials, based on hierarchical segmentation using minima. A 3D tomography image of granular materials is segmented with the introduction of a contact prior combined with other extinction for the purpose of formulating the hierarchy. The contact prior based hierarchy is biased towards a segmentation with a realistic mechanically valid contact network. The proposed method is observed to significantly increase the segmentation accuracy of these grains.
Grenoble INP—Institute of Engineering Univ. Grenoble Alpes.
WRHI—World Research Hub Initiative.
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Okubadejo, O., Andò, E., Bonnaud, L., Viggiani, G., Dalla Mura, M. (2019). Contact Based Hierarchical Segmentation for Granular Materials. In: Burgeth, B., Kleefeld, A., Naegel, B., Passat, N., Perret, B. (eds) Mathematical Morphology and Its Applications to Signal and Image Processing. ISMM 2019. Lecture Notes in Computer Science(), vol 11564. Springer, Cham. https://doi.org/10.1007/978-3-030-20867-7_33
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