Integration of Fuzzy Mathematical Morphology and Fuzzy Spatial Relationships into ITK
Atif J., Nempont O., Angelini E., Bloch I.
GET-ENST, Dept TSI, CNRS UMR 5141 LTCI, 46 rue Barrault, GET-ENST, GET-ENST. Dept TSI, CNRS UMR 5141 LTCI, 46 rue Barrault, 75634 Paris Cedex 13, France

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/28
Published in The Insight Journal - 2005 MICCAI Open-Source Workshop.
Submitted by Jamal Atif on 08-03-2005.
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.
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Keywords: Fuzzy Mathematical Morphology, Fuzzy spatial relationships, ITK filters,
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