Parallel implementation of greyscale morphological operators on MVP

Christophe Laurent; Christian Bouville

doi:10.1117/12.263262

10 January 1997 Parallel implementation of gray-scale morphological operators on MVP

Christophe Laurent, Christian Bouville

Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263262
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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.

Citation Download Citation

Christophe Laurent and Christian Bouville "Parallel implementation of gray-scale morphological operators on MVP", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263262

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