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Proceedings Paper

Tiling Strategies For Image Parallelism
Author(s): M. Chen; T. Pavlidis; M. Noga
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Paper Abstract

We discuss some basic problems encountered when we assemble the results of image analysis on architectures with coarse grain parallelism. Emphasis is placed on strategies that minimize distortions during the recombination of independently processed image tiles. A seaming algorithm is presented which merges the results of mean difference or max-min region based split-and-merge segmentations of individual tiles. Benchmarks obtained on a Sequent B/21 multiprocessor are given to illustrate the performance of the algorithm.

Paper Details

Date Published: 29 March 1989
PDF: 9 pages
Proc. SPIE 1076, Image Understanding and the Man-Machine Interface II, (29 March 1989); doi: 10.1117/12.952686
Show Author Affiliations
M. Chen, SUNY at Stony Brook (United States)
T. Pavlidis, SUNY at Stony Brook (United States)
M. Noga, Lockheed Palo Alto Research Labs (United States)


Published in SPIE Proceedings Vol. 1076:
Image Understanding and the Man-Machine Interface II
Eamon B. Barrett; James J. Pearson, Editor(s)

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