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

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• 作者：Martin Salzer^a ; Aaron Spettl^a ; ^{aaron.spettl@uni-ulm.de} ; Ole Stenzel^a ; Jan-Henrik Små ; tt^b ; Mika Lindé ; n^c ; Ingo Manke^d ; Volker Schmidt^a
• 关键词：Porous media ; FIB-SEM tomography ; 3D imaging ; Segmentation ; Local thresholding
• 刊名：Materials Characterization
• 出版年：2012
• 期刊代码：57_10445803
• 类别：ms
• 出版时间：July, 2012
• 卷：69
• 期：Complete
• 页码：115-126
• 文件大小：1562 K

摘要

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 鈥?both methods are described and compared with each other. Furthermore, the final segmentation is compared to a binarisation obtained by adaptive local thresholding.