A two-stage approach to the segmentation of FIB-SEM images of highly porous materials

A1 Originalartikel i en vetenskaplig tidskrift (referentgranskad)

Interna författare/redaktörer

Publikationens författare: Salzer M, Spettl A, Stenzel O, Smatt JH, Linden M, Manke I, Schmidt V
Publiceringsår: 2012
Tidskrift: Materials Characterization
Tidskriftsakronym: MATER CHARACT
Volym: 69
Artikelns första sida, sidnummer: 115
Artikelns sista sida, sidnummer: 126
Antal sidor: 12
ISSN: 1044-5803
eISSN: 1873-4189


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.


3D imaging, FIB-SEM tomography, Local thresholding, Porous media

Senast uppdaterad 2020-24-02 vid 04:41