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Integration of Fuzzy Mathematical Morphology and Fuzzy Spatial Relationships into ITK

Atif, Jamal, Nempont, Olivier, Angelini, Elsa, Bloch, Isabelle
LIMSI-CNRS
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/28
New: Prefer using the following doi: https://doi.org/10.54294/vahl5h
Submitted by Jamal Atif on 2005-08-02T15:54:04Z.

The aim of this paper is to present the integration of new filters computing fuzzy mathematical morphology and spatial relationships into ITK and to share our experience with the Open source community. Our implementation architecture follows the essential system concepts of ITK. An illustrative application is provided to help ITK users and developers to evaluate the capabilities of these filters.