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Well-Composedness and the Topological Repairing of 2-D and 3-D Digital Images

Tustison, Nicholas, Siqueira, Marcelo, Gee, James
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/470
New: Prefer using the following doi: https://doi.org/10.54294/mamu6k
Published in The Insight Journal - 2007 January - June.
Submitted by Nicholas J. Tustison on 2007-01-16T01:20:33Z.

In an earlier submission, we considered 2-D and 3-D digital binary images topologically characterized by their well-composedness. Well-composed images exhibit important topological and geometrical properties not shared by their ill-composed counterparts. These properties have important implications for various algorithms used by the ITK community such as thinning algorithms and Marching Cubes. A natural follow-up inquiry to our original submission concerns the possible extension of the binary algorithm to accommodate images with multiple labels. In this paper, we describe such a generalization of our previous submission which also subsumes the binary approach. For completeness and clarity of exposition, we develop the idea of well-composedness within the binary image context and later generalize the discussion to include those images with multiple labels.