Computational Intelligence for Measurement Systems and Applications-CIMSA 2007 , 2007-06-27

Title : Parallelization of Fuzzy Classical Filters for Image Noise Reduction ( Parallelization of Fuzzy Classical Filters for Image Noise Reduction )

Authors: حامد وحدت نژاد , Hosneyeh Zolfaghari , Reza Monsefi ,

Citation: BibTeX | EndNote

Abstract

Fuzzy weighted mean filters outperform non-fuzzy filters, but they require enormous amount of computation time. Parallel technology provides efficient tools to let these filters execute on a cluster or grid. In this paper, we present two parallel algorithms for applying FWM filters. Both algorithms are data parallel, and are implemented with MPI directives. Experimental results show the feasibility and effectiveness of parallel algorithms.

Keywords

Parallelization of Fuzzy Classical Filters for Image Noise Reduction
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@inproceedings{paperid:102024,
author = {حامد وحدت نژاد and Hosneyeh Zolfaghari and Monsefi, Reza},
title = {Parallelization of Fuzzy Classical Filters for Image Noise Reduction},
booktitle = {Computational Intelligence for Measurement Systems and Applications-CIMSA 2007},
year = {2007},
location = {ITALY},
keywords = {Parallelization of Fuzzy Classical Filters for Image Noise Reduction},
}

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%0 Conference Proceedings
%T Parallelization of Fuzzy Classical Filters for Image Noise Reduction
%A حامد وحدت نژاد
%A Hosneyeh Zolfaghari
%A Monsefi, Reza
%J Computational Intelligence for Measurement Systems and Applications-CIMSA 2007
%D 2007

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