Paper
18 September 1997 Implementation of SKIPSM for 3D binary morphology
Author Affiliations +
Proceedings Volume 3205, Machine Vision Applications, Architectures, and Systems Integration VI; (1997) https://doi.org/10.1117/12.285564
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States
Abstract
The SKIPSM finite-state machine image processing paradigm can be extended to 3-dimensional (and to n-dimensional) image processing in a very straightforward way. Two-dimensional SKIPSM involves an R-machine (row machine) and a C-machine (column machine) in sequence (in either order). Three- dimensional SKIPSM uses what will be called X-machines, Y- machines, and Z-machines (in any order). This means that large 3-D structuring elements can be applied to 3-D images in a single scan through the image, with three lookup-table accesses per volume element, and no other operations, regardless of the size of the structuring element. It is even possible to apply more than one 3-D structuring element simultaneously, with no increase in execution time. For binary erosion, which has interesting applications to the 3-D packing problem, many of the same lookup tables used for 2-D erosion can be used for 3-D erosion. This implies that the same software programs used to create these 2-D lookup tables can be used for 3-D tables, so that no new tools are required. For 3-D dilation, some changes are required, but all the tables needed can be created in a routine way from the corresponding 3-D erosion tables. A brief discussion of the use of SKIPSM for 3-D operations other than binary erosion and dilation is also included.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frederick M. Waltz "Implementation of SKIPSM for 3D binary morphology", Proc. SPIE 3205, Machine Vision Applications, Architectures, and Systems Integration VI, (18 September 1997); https://doi.org/10.1117/12.285564
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Cited by 11 scholarly publications.
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KEYWORDS
3D image processing

Binary data

Image processing

3D applications

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