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dc.contributor.authorŠrubař, Štěpán
dc.contributor.authorŠurkala, Milan
dc.contributor.editorSkala, Václav
dc.date.accessioned2012-07-25T09:08:27Z-
dc.date.available2012-07-25T09:08:27Z-
dc.date.issued2011
dc.identifier.citationWSCG ’2011: Poster Papers Proceedings: The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision: University of West Bohemia, Plzen, Czech Republic, January 31 - February 3, 2011, p. 13-16.en
dc.identifier.isbn978-80-86943-81-7
dc.identifier.urihttp://wscg.zcu.cz/WSCG2011/!_2011_WSCG_Poster_Papers.pdf
dc.identifier.urihttp://hdl.handle.net/11025/406
dc.description.abstractMean Shift is an universal and robust segmentation algorithm used also for image segmentation. Implementation corresponding to definition is slow for real-time image processing, thus some faster variants were proposed. Speed and quality of the segmentation can be influenced by the variant of the algorithm as well as by setting its parameters. Modification of a parameter causes change of number of segments and their shape as well. By using segmentation evaluation algorithm, we analyze and present these changes for original and modified Mean Shift algorithms. Influence of noise is also studied.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG ’2011: posters proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectsegmentační algoritmycs
dc.titleComparison of mean shift algorithms and evaluation of their stabilityen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedmean shiften
dc.subject.translatedsegmentation algorithmsen
dc.type.statusPeer-revieweden
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