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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/311

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dc.contributor.authorParthiban, R-
dc.contributor.authorRavikumar, C P-
dc.contributor.authorKakarala, R-
dc.contributor.authorSivaswamy, J-
dc.identifier.citationMicroprocessors and microsystems, 20(6), 341-349en
dc.description.abstractDetection of spatial symmetry is useful in several computer vision applications. Due to the real-time nature of the applications, it is important that symmetry detection algorithms be computationally efficient. Sequential algorithms for finding various types of planar symmetries in images are CPU-intensive, prompting us to look for fast parallel implementations. In this paper, we propose parallel algorithms for symmetry detection, and report an implementation on a distributed computing environment consisting of a network of Sun workstations. Experiments revealed close-to-linear speedup on a number of test images which we considered.en
dc.format.extent377993 bytes-
dc.subjectImage symmetry detectionen
dc.subjectParallel virtual machineen
dc.subjectParallel image processingen
dc.titleParallelization of symmetry detection algorithms on a network of workstationsen
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