Integration of Fuzzy Mathematical Morphology and Fuzzy Spatial Relationships into ITK

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/28
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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ISSN 2327-770X
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