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

A1 Journal article (refereed)

Internal Authors/Editors

Publication Details

List of Authors: Salzer M, Spettl A, Stenzel O, Smatt JH, Linden M, Manke I, Schmidt V
Publication year: 2012
Journal: Materials Characterization
Journal acronym: MATER CHARACT
Volume number: 69
Start page: 115
End page: 126
Number of pages: 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

Last updated on 2020-20-02 at 02:51