Artificial Neural Network for Displacement Vectors Determination

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dc.contributor.authorLevicky, D.
dc.contributor.authorBohmann, P.
dc.coverage.issue3cs
dc.coverage.volume6cs
dc.date.accessioned2016-05-05T12:01:56Z
dc.date.available2016-05-05T12:01:56Z
dc.date.issued1997-09cs
dc.description.abstractAn artificial neural network (NN) for displacement vectors (DV) determination is presented in this paper. DV are computed in areas which are essential for image analysis and computer vision, in areas where are edges, lines, corners etc. These special features are found by edges operators with the following filtration. The filtration is performed by a threshold function. The next step is DV computation by 2D Hamming artificial neural network. A method of DV computation is based on the full search block matching algorithms. The pre-processing (edges finding) is the reason why the correlation function is very simple, the process of DV determination needs less computation and the structure of the NN is simpler.en
dc.formattextcs
dc.format.extent24-28cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 1997, vol. 6, č. 3, s. 24-28. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58370
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/1997/97_03_06.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectneural networken
dc.subjectdisplacement vectoren
dc.subjectblock matchingen
dc.subjectmotion estimationen
dc.subjectimage sequence analysisen
dc.titleArtificial Neural Network for Displacement Vectors Determinationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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