Hierarchical analysis of 3D X-ray CT images for granular materials
Abstract
We address the classical problem of image segmentation applied to 3D CT scans in order to allow topological analysis of granular materials such as sand grains. The current state of the art offers many efficient methods for this issue. However they are usually not applicable to images such as the CT scans that we use - and that are also very common in the medical field - that contain important artefacts caused by the acquisition process. Hence we propose a new segmentation method that is usable for our problematic, exploiting hierarchical structures called component trees.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
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