Dimensional operators for mathematical morphology on simplicial complexes

Abstract : In this work we study the framework of mathematical morphology on simplicial complex spaces. Simplicial complexes are widely used to represent multidimensional data, such as meshes, that are two dimensional complexes, or graphs, that can be interpreted as one dimensional complexes. Mathematical morphology is one of the most powerful frameworks for image processing, including the processing of digital structures, and is heavily used for many applications. However, mathematical morphology operators on simplicial complex spaces is not a concept fully developed in the literature. Specifically, we explore properties of the dimensional operators, small, versatile operators that can be used to define new operators on simplicial complexes, while maintaining properties from mathematical morphology. These operators can also be used to recover many morphological operators from the literature. Matlab code and additional material, including the proofs of the original properties, are freely available at~\url{https://code.google.com/p/math-morpho-simplicial-complexes.}
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Article dans une revue
Pattern Recognition Letters, Elsevier, 2014, 47, pp.111-119
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Contributeur : Laurent Najman <>
Soumis le : mercredi 22 janvier 2014 - 10:24:00
Dernière modification le : jeudi 11 janvier 2018 - 06:20:22
Document(s) archivé(s) le : mercredi 23 avril 2014 - 00:05:10


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  • HAL Id : hal-00934488, version 1
  • ARXIV : 1401.5602


Fabio Dias, Jean Cousty, Laurent Najman. Dimensional operators for mathematical morphology on simplicial complexes. Pattern Recognition Letters, Elsevier, 2014, 47, pp.111-119. 〈hal-00934488〉



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