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Adaptive noise canceling and edge detection in images using PVM on a NOW

dc.contributor.authorMylonas, S. A.en
dc.contributor.authorTrancoso, Pedroen
dc.contributor.authorTrimikliniotis, Michaelen
dc.creatorMylonas, S. A.en
dc.creatorTrancoso, Pedroen
dc.creatorTrimikliniotis, Michaelen
dc.date.accessioned2019-11-13T10:41:22Z
dc.date.available2019-11-13T10:41:22Z
dc.date.issued2000
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54572
dc.description.abstractA method for the processing of digital images using a two-dimensional LMS adaptive filter for noise reduction and subsequent edge detection is presented. This was implemented on a Parallel Virtual Machine (PVM) consisting of inexpensive PCs. The experimental results for different image sizes and system configurations showed close to linear speedup. Experiments to test dynamic load balancing were also performed.en
dc.publisherIEEEen
dc.sourceProceedings of the Mediterranean Electrotechnical Conference - MELECONen
dc.source10th Mediterranean Electrotechnical Conference (MALECON2000)en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0034484378&partnerID=40&md5=1325b819bab1bd950a969489a17243fa
dc.subjectVirtual realityen
dc.subjectTwo dimensionalen
dc.subjectImage processingen
dc.subjectNoise abatementen
dc.subjectAdaptive algorithmsen
dc.subjectComputer workstationsen
dc.subjectAdaptive filteringen
dc.subjectResponse time (computer systems)en
dc.subjectNetwork of workstationsen
dc.subjectAcoustic signal processingen
dc.subjectLoad balancingen
dc.subjectParallel virtual machineen
dc.titleAdaptive noise canceling and edge detection in images using PVM on a NOWen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.description.volume2
dc.description.startingpage681
dc.description.endingpage684
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: IEEEen
dc.description.notesConference code: 57862en
dc.description.notesCited By :2</p>en
dc.contributor.orcidTrancoso, Pedro [0000-0002-2776-9253]
dc.gnosis.orcid0000-0002-2776-9253


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