Journal article
A framework for automatic segmentation in three dimensions of microstructural tomography data
Microstructures and Interfaces, Fuel Cells and Solid State Chemistry Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark1
Fuel Cells and Solid State Chemistry Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark2
Risø National Laboratory for Sustainable Energy, Technical University of Denmark3
Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark4
Department of Informatics and Mathematical Modeling, Technical University of Denmark5
Routine use of quantitative three dimensional analysis of material microstructure by in particular, focused ion beam (FIB) serial sectioning is generally restricted by the time consuming task of manually delineating structures within each image slice or the quality of manual and automatic segmentation schemes.
We present here a framework for performing automatic segmentation of complex microstructures using a level set method. The technique is based on numerical approximations to partial differential equations to evolve a 3D surface to capture the phase boundaries. Vector fields derived from the experimentally acquired data are used as the driving forces.
The framework performs the segmentation in 3D rather than on a slice by slice basis. It naturally supplies sub-voxel precision of segmented surfaces and allows constraints on the surface curvature to enforce a smooth surface in the segmentation. Two applications of the framework are illustrated using solid oxide cell materials as examples.
Language: | English |
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Year: | 2010 |
Pages: | 216-228 |
ISSN: | 18792723 and 03043991 |
Types: | Journal article |
DOI: | 10.1016/j.ultramic.2009.11.013 |
ORCIDs: | Jørgensen, Peter Stanley , Hansen, Karin Vels , Larsen, Rasmus and Bowen, Jacob R. |
Automatic Brændselsceller og brint Focused Ion Beam Fuel Cells and hydrogen Image analysis Segmentation Solid Oxide Fuel Cells