Multi-transputer implementations of selected image processing techniques

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dc.contributor.authorTurner, Christopher, J.
dc.contributor.authorBhavsar, Virendra, C.
dc.contributor.authorPochec, Przemyslaw, R.
dc.date.accessioned2023-03-01T18:29:18Z
dc.date.available2023-03-01T18:29:18Z
dc.date.issued1993
dc.description.abstractWe present parallel implementations of a local (convolution) and a global (regular moment extraction) image processing technique on a multi-transputer system. Issues relevant to implementation design including computational algorithm selection, initial data pass, and topology selection are discussed. Linear speedups in the convolution implementations are observed for all image sizes whereas such speedups are obtained only for large image sizes for the regular moment implementations. Analysis of the implementations including parallel time complexity functions and observations about data passing and topology selection is given. Two theoretical performance models based on the implementations closely match empirical timing results. Keywords: parallel processing, transputers, image processing, convolution, moments, performance evaluation.
dc.description.copyrightCopyright @ Christopher J. Turner, Virendra C. Bhavsar, and Przemyslaw R. Pochec, 1993.
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/14915
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineComputer Science
dc.titleMulti-transputer implementations of selected image processing techniques
dc.typetechnical report

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