This book explores novel representations and comparison tools for analyzing structures and irregularities in signals and images. In opposition to most methods, the ideas introduced here work at the pixel-level. Structures and irregularities are studied using approaches that stem from discrepancy theory, functional analysis and potential theory, and low-level signal processing. In particular we show that structure enhancing similarity measures or representations have advantages over usual tools for image comparison and analysis.
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This book explores novel representations and comparison tools for analyzing structures and irregularities in signals and images. In opposition to most methods, the ideas introduced here work at the pixel-level. Structures and irregularities are studied using approaches that stem from discrepancy theory, functional analysis and potential theory, and low-level signal processing. In particular we show that structure enhancing similarity measures or representations have advantages over usual tools for image comparison and analysis.
Jean-Luc received a Master's degree in applied math-computer science from the french INP-ENSEEIHT. During his last year he worked for T-Systems, Darmstadt, Germany, developing artificial intelligence softwares. He then worked for the Fuzzy Logic Lab, Linz, Austria submitting his thesis in 2012. He is now a postdoc in the math department at Drexel.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores novel representations and comparison tools for analyzing structures and irregularities in signals and images. In opposition to most methods, the ideas introduced here work at the pixel-level. Structures and irregularities are studied using approaches that stem from discrepancy theory, functional analysis and potential theory, and low-level signal processing. In particular we show that structure enhancing similarity measures or representations have advantages over usual tools for image comparison and analysis. 152 pp. Englisch. N° de réf. du vendeur 9783838136622
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bouchot Jean-LucJean-Luc received a Master s degree in applied math-computer science from the french INP-ENSEEIHT. During his last year he worked for T-Systems, Darmstadt, Germany, developing artificial intelligence softwares. He the. N° de réf. du vendeur 5407916
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores novel representations and comparison tools for analyzing structures and irregularities in signals and images. In opposition to most methods, the ideas introduced here work at the pixel-level. Structures and irregularities are studied using approaches that stem from discrepancy theory, functional analysis and potential theory, and low-level signal processing. In particular we show that structure enhancing similarity measures or representations have advantages over usual tools for image comparison and analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. N° de réf. du vendeur 9783838136622
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores novel representations and comparison tools for analyzing structures and irregularities in signals and images. In opposition to most methods, the ideas introduced here work at the pixel-level. Structures and irregularities are studied using approaches that stem from discrepancy theory, functional analysis and potential theory, and low-level signal processing. In particular we show that structure enhancing similarity measures or representations have advantages over usual tools for image comparison and analysis. N° de réf. du vendeur 9783838136622
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Taschenbuch. Etat : Neu. Structures and irregularities in image processing and analysis | Discrepancy norm, distance transform and analytic representations | Jean-Luc Bouchot | Taschenbuch | 152 S. | Englisch | 2013 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838136622 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 105537335
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