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M-Idempotent and Self-Dual Morphological Filters.

Authors :
Bouaynaya, Nidhal
Charif-Chefchaouni, Mohammed
Schonfeld, Dan
Source :
IEEE Transactions on Pattern Analysis & Machine Intelligence; Apr2012, Vol. 34 Issue 4, p805-813, 0p
Publication Year :
2012

Abstract

In this paper, we present a comprehensive analysis of self-dual and m--idempotent operators. We refer to an operator as m-idempotent if it converges after m iterations. We focus on an important special case of the general theory of lattice morphology: spatially variant morphology, which captures the geometrical interpretation of spatially variant structuring elements. We demonstrate that every increasing self-dual morphological operator can be viewed as a morphological center. Necessary and sufficient conditions for the idempotence of morphological operators are characterized in terms of their kernel representation. We further extend our results to the representation of the kernel of m-idempotent morphological operators. We then rely on the conditions on the kernel representation derived and establish methods for the construction of m--idempotent and self-dual morphological operators. Finally, we illustrate the importance of the self-duality and m-idempotence properties by an application to speckle noise removal in radar images. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01628828
Volume :
34
Issue :
4
Database :
Complementary Index
Journal :
IEEE Transactions on Pattern Analysis & Machine Intelligence
Publication Type :
Academic Journal
Accession number :
73609733
Full Text :
https://doi.org/10.1109/TPAMI.2011.244