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Surface skeletons in grids with non-cubic voxels
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2004 (English)In: Proceedings of International Conference on Pattern Recognition (ICPR 2004), 2004Conference paper, Published paper (Refereed)
Abstract [en]

An algorithm for computing surface skeletons on the face-centered cubic (fcc) grid and the body-centered cubic (bcc) grid is presented. The fcc grid and the bcc grid are three-dimensional grids where the voxels are rhombic dodecahedra and truncated octahedra, respectively. The DT is used to generate the set of centres of maximal balls (CMBs) which will be ``anchor points'' when constructing the skeleton. Simple points are used in order to make the skeleton topologically correct and CMBs to produce a fully reversible skeleton. Using only simple points and the CMBs generates a skeleton with a lot of branches. By using a set of additional conditions for removal and preservation of gridpoints, most of these branches are merged into surfaces. For comparison, the algorithm is also implemented for the cubic grid.

Place, publisher, year, edition, pages
2004.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-67874OAI: oai:DiVA.org:uu-67874DiVA: diva2:95785
Available from: 2005-05-23 Created: 2005-05-23

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Strand, Robin

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