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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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.
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Taschenbuch. Zustand: 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. Artikel-Nr. 105537335
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