A One-Pass Two-Operation Process to Detect the Skeletal Pixels on the 4-Distance Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Pattern Recognition Letters
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Computer Vision and Image Understanding
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Computer Vision and Image Understanding
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SSPR '96 Proceedings of the 6th International Workshop on Advances in Structural and Syntactical Pattern Recognition
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CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
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Pattern Recognition Letters
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Computer-Aided Design
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CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
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SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
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We present an algorithm for extracting the surface skeleton of a 3D object from its D6 distance transform. The skeletal voxels are directly detected and marked on the distance transform within a small number of inspections, independent of object thickness. This makes the algorithm preferable with respect to algorithms based on iterative application of topology preserving removal operations, when working with thick objects. The set of skeletal voxels is centred within the object, symmetric, and topologically correct. It is at most 2-voxel wide (except for some cases of surface intersections) and includes all centres of maximal D6 balls, which makes skeletonization reversible. Reduction to a unit wide surface skeleton can be obtained by suitable post-processing.