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Titlebook: Discrete Geometry for Computer Imagery; 9th International Co Gunilla Borgefors,Ingela Nystr?m,Gabriella Sanniti Conference proceedings 2000

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Structured Illumination Microscopyx geometry. We will see in this framework that the question v ∈ .? generalizes the problem of recognition of the finite parts of digital hyperplanes and we will give equivalent formulations which allow to solve it efficiently.
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58#
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Strong Thinning and Polyhedrization of the Surface of a Voxel Objectlgorithm to polyhedrize the boundary of a voxel object which uses the parallel thinning algorithm presented above. This method is speci.cally adapted to digital objects and is much more e.cient than such existing methods [.]. Some examples are shown, and a method to make the reverse operation (discretization) is briefly presented.
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Digital ,-Pseudomanifold and n-Weakmanifold in a Binary (, + 1)-Digital Image the n-digital image, based on cubical complex decomposition. This enables us to translate some results from polyhedral topology into the digital space. Our main result extends the class of “thin” objects that are defined locally and verifies the Jordan-Brouwer separation theorem.
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