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

M Salzer, A Spettl, O Stenzel, Jan-Henrik Smått, M Linden, I Manke, V Schmidt

    Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

    46 Citeringar (Scopus)


    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.
    Sidor (från-till)115–126
    Antal sidor12
    TidskriftMaterials Characterization
    StatusPublicerad - 2012
    MoE-publikationstypA1 Tidskriftsartikel-refererad


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

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