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Autor(en): 
  • C. -C. Jay Kuo
  • Jia He
  • Chang-Su Kim
  • Interactive Segmentation Techniques: Algorithms and Performance Evaluation 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  September 2013  
    Genre:  Naturwissensch., Medizin, Technik 
     
    C / Computer Vision / Digital and Analog Signal Processing / engineering / Image processing / Image Processing and Computer Vision / Optical data processing / Signal Processing / Signal, Image and Speech Processing / Speech processing systems / User interface design & usability / User interfaces (Computer systems) / User Interfaces and Human Computer Interaction
    ISBN:  9789814451598 
    EAN-Code: 
    9789814451598 
    Verlag:  Springer Nature Singapore 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  SpringerBriefs in Electrical and Computer Engineering
    SpringerBriefs in Signal Processing  
    Dimensionen:  H 235 mm / B 155 mm / D 6 mm 
    Gewicht:  149 gr 
    Seiten:  88 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection. A comparative analysis of these methods will be provided with quantitative and qualitative performance evaluation, which will be illustrated using natural and synthetic images. Also, extensive statistical performance comparisons will be made. Pros and cons of these interactive segmentation methods will be pointed out, and their applications will be discussed.

    There have been only a few surveys on interactive segmentation techniques, and those surveys do not cover recent state-of-the art techniques. By providing comprehensive up-to-date survey on the fast developing topic and the performance evaluation, this book can help readers learn interactive segmentation techniques quickly and thoroughly.
      



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