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Proceedings Paper

Real-time topological image smoothing on shared memory parallel machines
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Paper Abstract

Smoothing filter is the method of choice for image preprocessing and pattern recognition. We present a new concurrent method for smoothing 2D object in binary case. Proposed method provides a parallel computation while preserving the topology by using homotopic transformations. We introduce an adapted parallelization strategy called split, distribute and merge (SDM) strategy which allows efficient parallelization of a large class of topological operators including, mainly, smoothing, skeletonization, and watershed algorithms. To achieve a good speedup, we cared about task scheduling. Distributed work during smoothing process is done by a variable number of threads. Tests on 2D binary image (512*512), using shared memory parallel machine (SMPM) with 8 CPU cores (2× Xeon E5405 running at frequency of 2 GHz), showed an enhancement of 5.2 thus a cadency of 32 images per second is achieved.

Paper Details

Date Published: 2 February 2011
PDF: 11 pages
Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 787109 (2 February 2011); doi: 10.1117/12.872275
Show Author Affiliations
Ramzi Mahmoudi, Unité Mixte UMLV-ESIEE, CNRS, Univ. Paris-Est (France)
Mohamed Akil, Unité Mixte UMLV-ESIEE, CNRS, Univ. Paris-Est (France)

Published in SPIE Proceedings Vol. 7871:
Real-Time Image and Video Processing 2011
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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