Literature DB >> 25137728

Topology preserving thinning of cell complexes.

Pawel Dlotko, Ruben Specogna.   

Abstract

A topology preserving skeleton is a synthetic representation of an object that retains its topology and many of its significant morphological properties. The process of obtaining the skeleton, referred to as skeletonization or thinning, is a very active research area. It plays a central role in reducing the amount of information to be processed during image analysis and visualization, computer-aided diagnosis, or by pattern recognition algorithms. This paper introduces a novel topology preserving thinning algorithm, which removes simple cells-a generalization of simple points-of a given cell complex. The test for simple cells is based on acyclicity tables automatically produced in advance with homology computations. Using acyclicity tables render the implementation of thinning algorithms straightforward. Moreover, the fact that tables are automatically filled for all possible configurations allows to rigorously prove the generality of the algorithm and to obtain fool-proof implementations. The novel approach enables, for the first time, according to our knowledge, to thin a general unstructured simplicial complex. Acyclicity tables for cubical and simplicial complexes and an open source implementation of the thinning algorithm are provided as an additional material to allow their immediate use in the vast number of applications arising in medical imaging and beyond.

Mesh:

Year:  2014        PMID: 25137728     DOI: 10.1109/TIP.2014.2348799

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees.

Authors:  Stefano Moriconi; Maria A Zuluaga; H Rolf Jager; Parashkev Nachev; Sebastien Ourselin; M Jorge Cardoso
Journal:  IEEE Trans Med Imaging       Date:  2018-07-26       Impact factor: 10.048

  1 in total

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