Abstrakti
Segmentation of 3D FIB-SEM images is a specific problem for porous materials, where grey intensities are not sufficient to determine the phase represented by a certain voxel. In this paper a new approach is proposed to segmentation of FIB-SEM images, which is especially designed for highly porous materials. It detects and allocates structures based on their last occurrence in z-direction. Afterwards, the obtained segmentation is improved by applying local thresholds. This can be done in an iterative or in a direct way - both methods are described and compared with each other. Furthermore, the final segmentation is compared to a binarisation obtained by adaptive local thresholding. (C) 2012 Elsevier Inc. All rights reserved.
Alkuperäiskieli | Ei tiedossa |
---|---|
Sivut | 115–126 |
Sivumäärä | 12 |
Julkaisu | Materials Characterization |
Vuosikerta | 69 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 2012 |
OKM-julkaisutyyppi | A1 Julkaistu artikkeli, soviteltu |
Keywords
- Porous media
- FIB-SEM tomography
- 3D imaging
- Local thresholding