On making nD images well-composed by a self-dual local interpolation

Abstract : Natural and synthetic discrete images are generally not well-composed, leading to many topological issues: connectivities in binary images are not equivalent, the Jordan Separation theorem is not true anymore, and so on. Conversely, making images well-composed solves those problems and then gives access to many powerful tools already known in mathematical morphology as the Tree of Shapes which is of our principal interest. In this paper, we present two main results: a characterization of 3D well-composed gray-valued images; and a counter-example showing that no local self-dual interpolation satisfying a classical set of properties makes well-composed images with one subdivision in 3D, as soon as we choose the mean operator to interpolate in 1D. Then, we briefly discuss various constraints that could be interesting to change to make the problem solvable in nD.
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Communication dans un congrès
Barcucci, Elena, Frosini, Andrea, Rinaldi, Simone. 18th IAPR International Conference, DGCI 2014, Sep 2014, Sienna, Italy. Springer International Publishing, 8668, pp.320-331, 2014, Lecture Notes in Computer Science. <10.1007/978-3-319-09955-2_27>
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Dernière modification le : mercredi 15 avril 2015 - 16:06:58
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Nicolas Boutry, Thierry Géraud, Laurent Najman. On making nD images well-composed by a self-dual local interpolation. Barcucci, Elena, Frosini, Andrea, Rinaldi, Simone. 18th IAPR International Conference, DGCI 2014, Sep 2014, Sienna, Italy. Springer International Publishing, 8668, pp.320-331, 2014, Lecture Notes in Computer Science. <10.1007/978-3-319-09955-2_27>. <hal-01071624>

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