• Spettl, A.; Linden, M.; Manke, I.; Schmidt, V.: Structural 3D characterization of silica monoliths: extraction of rod networks. In: Punte Leon, M. [u.a.] [Eds.] : Forum Bildverarbeitung ; 2012 (Regensburg) : 2012.11.29-30Karlsruhe: KIT Scientific Publ., 2012. - ISBN 978-3-86644-927-5, p. 107-118


Abstract:
Based on experimental 3D image data, we analyze a highly porous silica monolith consisting of a network of rod-like structures. Because the rods are often hard to recognize even by visual inspection of the image data, a simple binarization with e.g. thresholding techniques is problematic. Therefore we extract a voxel-based skeleton directly from the filtered grayscale image, which is then transformed into vector data, i.e., a system of line segments describing the rod network. In a final step we complete the extraction by estimating a radius for every line segment, using the concept of the Hough transform applied to the gradient image. These steps yield a structural segmentation with advantages over global or local thresholding techniques and allow the statistical analysis and characterization of the given sample.