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Herausgeber: 
  • Stanley Osher
  • Tony F. Chan
  • Xue-Cheng Tai
  • Knut-Andreas Lie
  • Image Processing Based on Partial Differential Equations: Proceedings of the International Conference on PDE-Based Image Processing and Related Invers 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2010  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / Bildverarbeitung / C / Combinatorics & graph theory / Computer Imaging, Vision, Pattern Recognition and Graphics / computer science / Computer Vision / Data and Information Visualization
    ISBN:  9783642069901 
    EAN-Code: 
    9783642069901 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  772 gr 
    Seiten:  440 
    Illustration:  X, 440 p. 174 illus., 22 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The book contains twenty-two original scienti?c research articles that address the state-of-the-art in using partial di?erential equations for image and signal processing. The articles arose from presentations given at the inter- tional conference on PDE-Based Image Processing and Related Inverse Pr- lems, held at the Centre of Mathematics for Applications, University of Oslo, Norway, August 8-12, 2005. The purpose of the conference was to bring together international - searchers to present various aspects of new developments in using numerical techniques for partial di?erential equations to analyse and process digital - ages. Various aspects of new trends and techniques in this ?eld were discussed in the conference, covering the following topics: ¿ Level set methods and applications ¿ Total variation regularization and other nonlinear ?lters ¿ Noise analysis and removal ¿ Image inpainting ¿ Image dejittering ¿ Optical ?ow estimation ¿ Image segmentation ¿ Image registration ¿ Analysis and processing of MR images and brain mapping ¿ Image construction techniques ¿ Level set methods for inverse problems Inverse problems for partial di?erential equations have large areas of app- cations. Although image analysis and PDE inverse problems seem to be - related at a ?rst glance, there are many techniques used in one of these two areas that are useful for the other. One goal of the conference was to highlight some of the recent e?orts in merging some of the techniques for these two research areas.

      



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