DocumentCode
1403350
Title
M-Idempotent and Self-Dual Morphological Filters
Author
Bouaynaya, Nidhal ; Charif-Chefchaouni, Mohammed ; Schonfeld, Dan
Author_Institution
Dept. of Syst. Eng., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
Volume
34
Issue
4
fYear
2012
fDate
4/1/2012 12:00:00 AM
Firstpage
805
Lastpage
813
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.
Keywords
filtering theory; image denoising; radar imaging; geometrical interpretation; kernel representation; lattice morphology; m-idempotent operators; radar images; self-dual morphological filters; self-dual morphological operator; spatially-variant morphology; spatially-variant structuring elements; speckle noise removal; Bismuth; Kernel; Morphology; Noise; Radar imaging; Switches; Mathematical morphology; duality; idempotence.; spatially-invariant mathematical morphology;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2011.244
Filename
6109268
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