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Proceedings Paper

Parallel implementation of greyscale morphological operators on MVP
Author(s): Christophe Laurent; Christian Bouville
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Paper Abstract

The application of morphological methods in image analysis has often shown its efficiency by providing a geometrical approach to signal processing while all other techniques offer a spatial frequency approach. However, the morphological operators used in applications as image segmentation are highly computation intensive because of their iterative, sequential and irregular behavior and therefore, it is difficult to reach real time performances. In order to improve the performances, parallel processing is a necessity and, in this paper, we present a parallel implementation of morphological operators using the single- chip multiprocessor TMS320C80. First of all, we study the parallel implementation of basic morphological operators. These operators are well-suited to parallelism and therefore, do not bring major problems because of their regular behavior. Then, we suggest a parallelization of morphological filters by reconstruction which are essentially irregular.

Paper Details

Date Published: 10 January 1997
PDF: 12 pages
Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263262
Show Author Affiliations
Christophe Laurent, CCETT (France) and Lab. Bordelais de Recherche en Informatique/CNRS (France)
Christian Bouville, CCETT (France)

Published in SPIE Proceedings Vol. 3024:
Visual Communications and Image Processing '97
Jan Biemond; Edward J. Delp III, Editor(s)

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