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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 (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.

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Computer Vision and Robotics (Autonomous Systems)
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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