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Communication Dans Un Congrès Année : 2010

Graph-based morphological processing of multivariate microscopy images and data bases

Résumé

The extension of lattice based operators to manifolds is still a challenging theme in mathematical morphology. In this paper, we propose to explicitly construct complete lattices and replace each element of a manifold by its rank suitable for classical morphological processing. Manifold learning is considered as the basis for the construction of a complete lattice. The whole processing of multivariate functions is expressed on graphs to have a formalism that can be applied on images, region adjacency graphs, and image databases. Several examples in microscopy do illustrate the benefits of the proposed approach.
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Dates et versions

hal-00521066 , version 1 (24-02-2014)

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Olivier Lezoray. Graph-based morphological processing of multivariate microscopy images and data bases. International Symposium on Biomedical Imaging, 2010, Rotterdam, Netherlands. pp.1285-1288, ⟨10.1109/ISBI.2010.5490231⟩. ⟨hal-00521066⟩
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