Paper
9 September 1994 New findings from the SpiderWeb algorithm: toward a digital morse theory
Daniel B. Karron, James Cox, Bhubaneswar Mishra
Author Affiliations +
Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185226
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States
Abstract
Algorithms that tile iso-valued surfaces should produce 'correctly' tiled orientable manifold surfaces. Rigorous evaluation of different algorithms or case tables has been impossible up to now because of the lack of a clear and comprehensive theoretical framework. We propose the extension of Morse theory, as developed in the continuous domain, to apply to discretely sampled continuous domains (sampled Morse functions). We call this the digital domain, and thus formulate a Digital Morse Theory (DMT). We show that a discretely sampled continuous volume in which we are tiling a surface can have various classes of Morse criticalities. When the isosurface comes close (within a voxel length) of a criticality, this is what gives rise to certain apparent ambiguities in tiling surfaces. DMT provides a heuristic to correctly disambiguate tiling decisions. In addition, DMT gives insight to correctly simplifying a volume data set so as to produce an isosurface with a reduced number of tiles, and yet maintain a topology. Additionally, one can establish a hierarchical relationship between each criticality and its associated regions.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel B. Karron, James Cox, and Bhubaneswar Mishra "New findings from the SpiderWeb algorithm: toward a digital morse theory", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185226
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Cited by 15 scholarly publications.
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KEYWORDS
Algorithms

Binary data

Algorithm development

Computer science

Image segmentation

Natural surfaces

Computer vision technology

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