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Autor(en): 
  • Theo Gevers
  • Arjan Gijsenij
  • Joost Van De Weijer
  • Jan-Mark Geusebroek
  • Color in Computer Vision: Fundamentals and Applications 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2012  
    Genre:  Naturwissensch., Medizin, Technik 
     
    computer science / Computer Vision / Computergraphik / Electrical & Electronics Engineering / Elektrotechnik u. Elektronik / Farbreproduktion / Informatik / maschinelles Sehen / Signal Processing / Signalverarbeitung / Visualisierung u. Computergraphik / Visualization & Computer Graphics
    ISBN:  9780470890844 
    EAN-Code: 
    9780470890844 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Wiley-IS&T Series in Imaging Science and Technology  
    Dimensionen:  H 243 mm / B 163 mm / D 22 mm 
    Gewicht:  794 gr 
    Seiten:  384 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    While the field of computer vision drives many of today's digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors' intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: * Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods * Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy * Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations * Signal processing techniques for the development of both image processing and machine learning * Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

      



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