Salzer, M.; Spettl, A.; Stenzel, O.; Smatt, J.-H.; Linden, M.; Manke, I.; Schmidt, V.: A two-stage approach to the segmentation of FIB-SEM images of highly porous materials. Materials Characterization 69 (2012), p. 115-126
10.1016/j.matchar.2012.04.003
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.