title: Quantitative comparison of segmentation algorithms for FIB-SEM images of porous media.
abstract: Focused ion beam tomography has proven to be capable of imaging porous structures on a nano-scale. However, due to shine-through artefacts, common segmentation algorithms often lead to severe dislocation of individual structures in z-direction. Recently, a number of approaches have been developed, which take into account the specific nature of focused ion beam-scanning electron microscope images for porous media. In the present study, we analyse three of these approaches by comparing their performance based on simulated focused ion beam-scanning electron microscope images. Performance is measured by determining the amount of misclassified voxels as well as the fidelity of structural characteristics. Based on this analysis we conclude that each algorithm has certain strengths and weaknesses and we determine the scenarios for which each approach might be the best choice.
authors.affiliation: Institute of Stochastics, Faculty of Mathematics and Economics, Ulm University, Ulm, Germany.
authors.forename: M
authors.initials: M
authors.lastname: Salzer
authors.forename: T
authors.initials: T
authors.lastname: Prill
authors.forename: A
authors.initials: A
authors.lastname: Spettl
authors.forename: D
authors.initials: D
authors.lastname: Jeulin
authors.forename: K
authors.initials: K
authors.lastname: Schladitz
authors.forename: V
authors.initials: V
authors.lastname: Schmidt
keywords: 3D imaging; FIB tomography; porous microstructures; segmentation