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dc.contributor.authorReich, Simon
dc.contributor.authorAbramov, Alexey
dc.contributor.authorPapon, Jeremie
dc.contributor.authorWorgotter, Florentin
dc.contributor.authorDellen, Babette
dc.identifier.citationReich, S. [et al.]. A novel real-time edge-preserving smoothing filter. A: International Conference on Computer Vision Theory and Applications. "VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications". Barcelona: 2013, p. 1-11.
dc.description.abstractThe segmentation of textured and noisy areas in images is a very challenging task due to the large variety of objects and materials in natural environments, which cannot be solved by a single similarity measure. In this paper, we address this problem by proposing a novel edge-preserving texture filter, which smudges the color values inside uniformly textured areas, thus making the processed image more workable for color-based image segmentation. Due to the highly parallel structure of the method, the implementation on a GPU runs in realtime, allowing us to process standard images within tens of milliseconds. By preprocessing images with this novel filter before applying a recent real-time color-based image segmentation method, we obtain significant improvements in performance for images from the Berkeley dataset, outperforming an alternative version using a standard bilateral filter for preprocessing. We further show that our combined approach leads to better segmentations in terms of a standard performance measure than graph-based and mean-shift segmentation for the Berkeley image dataset.
dc.format.extent11 p.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.lcshComputer vision
dc.subject.otherImage coding
dc.titleA novel real-time edge-preserving smoothing filter
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Pattern recognition::Computer vision
dc.rights.accessOpen Access
dc.description.versionPostprint (author’s final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/269959/EU/Intelligent observation and execution of Actions and manipulations/INTELLACT
upcommons.citation.authorReich, S.; Abramov, A.; Papon, J.; Worgotter, F.; Dellen, B.
upcommons.citation.contributorInternational Conference on Computer Vision Theory and Applications
upcommons.citation.publicationNameVISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications

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