Abstract
In [4], given a binary 26-adjacency voxel-based digital volume V, the homological information (that related to n-dimensional holes: connected components, "tunnels" and cavities) is extracted from a linear map (called homology gradient vector field) acting on a polyhedral cell complex P(V) homologically equivalent to V. We develop here an alternative way for constructing P(V) based on homological algebra arguments as well as a new more efficient algorithm for computing a homology gradient vector field based on the contractibility of the maximal cells of P(V). © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Real, P., & Molina-Abril, H. (2009). Cell at-models for digital volumes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5534 LNCS, pp. 314–323). https://doi.org/10.1007/978-3-642-02124-4_32
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