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

    Research output: Contribution to journalArticleScientificpeer-review

    36 Citations (Scopus)

    Abstract

    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.
    Original languageUndefined/Unknown
    Pages (from-to)115–126
    Number of pages12
    JournalMaterials Characterization
    Volume69
    DOIs
    Publication statusPublished - 2012
    MoE publication typeA1 Journal article-refereed

    Keywords

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

    Cite this