The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Efficient skeletonization of volumetric objects
Open accessAbstract
Skeletonization promises to become a powerful tool for compact shape description, path planning, and other applications. However, current techniques can seldom efficiently process real, complicated 3D data sets, such as MRI and CT data of human organs. In this paper, we present an efficient voxel-coding based algorithm for Skeletonization of 3D voxelized objects. The skeletons are interpreted as connected centerlines. consisting of sequences of medial points of consecutive clusters. These centerlines are initially extracted as paths of voxels, followed by medial point replacement, refinement, smoothness, and connection operations. The voxel-coding techniques have been proposed for each of these operations in a uniform and systematic fashion. In addition to preserving basic connectivity and centeredness, the algorithm is characterized by straightforward computation, no sensitivity to object boundary complexity, explicit extraction of ready-to-parameterize and branch-controlled skeletons, and efficient object hole detection. These issues are rarely discussed in traditional methods. A range of 3D medical MRI and CT data sets were used for testing the algorithm, demonstrating its utility.
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Citations
Cites
Distance transformations in digital images
Borgefors, G. (1986) · Computer Vision, Graphics, and Image Processing · doi:10.1016/s0734-189x(86)80047-0 · Cited by 1,898
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Geometrically deformed models: a method for extracting closed geometric models form volume data
Miller, J. V., Breen, D. E., Lorensen, W. E., O'Bara, R. M., & Wozny, M. J. (1991) · Proceedings of the 18th annual conference on Computer graphics and interactive techniques · doi:10.1145/122718.122742 · Cited by 216
Cited by
Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Woods, R., Paus, T., Simpson, G., Pike, B., et al. (2001) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2001.0915 · Cited by 2,347
Self-citationSkeleton extraction by mesh contraction
Au, O. K.-C., Tai, C.-L., Chu, H.-K., Cohen-Or, D., & Lee, T.-Y. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360643 · Cited by 521
Curve-Skeleton Properties, Applications, and Algorithms
Cornea, N. D., Silver, D., & Min, P. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.1002 · Cited by 484
Automatic animation skeleton using repulsive force field
Liu, P.-C., Wu, F.-C., Ma, W.-C., Liang, R.-H., & Ouhyoung, M. (2004) · 11th Pacific Conference onComputer Graphics and Applications, 2003. Proceedings. · doi:10.1109/pccga.2003.1238285 · Cited by 57
Parallel centerline extraction on the GPU
Liu, B., Telea, A. C., Roerdink, J. B. T. M., Clapworthy, G. J., Williams, D., Yang, P., Dong, F., Codreanu, V., & Chiarini, A. (2014) · Computers & Graphics · doi:10.1016/j.cag.2014.02.003 · Cited by 14
Metadata
- Authors
- Zhou, Y., & Toga, A. W.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 1999
- Volume
- 5
- Issue
- 3
- Pages
- 196-209
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2000023163
- Cited by
- 314
- References
- 8
- FWCI
- 13.69
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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