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Advances in Reasoning-Based Image Processing Intelligent Systems

Conventional and Intelligent Paradigms

  • Roumen Kountchev
  • Kazumi Nakamatsu

Part of the Intelligent Systems Reference Library book series (ISRL, volume 29)

Table of contents

  1. Front Matter
    Pages 1-12
  2. Intelligent Image Processing

    1. Front Matter
      Pages 1-1
    2. Roumen Kountchev, Kazumi Nakamatsu
      Pages 3-8
    3. Roumen Kountchev, Vladimir Todorov, Roumiana Kountcheva
      Pages 35-89
    4. Marie Babel, François Pasteau, Clément Strauss, Maxime Pelcat, Laurent Bédat, Médéric Blestel et al.
      Pages 91-125
    5. Baigalmaa Tsagaan, Hiromasa Nakatani
      Pages 127-146
  3. Pattern Recognition, Image Data Mining and Intelligent Systems

    1. Front Matter
      Pages 171-171
    2. Alexander Bekiarski
      Pages 173-209
    3. Mingqiang Yang, Kidiyo Kpalma, Joseph Ronsin
      Pages 255-314
    4. Neveen I. Ghali, Wafaa G. Abd-Elmonim, Aboul Ella Hassanien
      Pages 315-329
    5. Jair Minoro Abe, Helder F. S. Lopes, Kazumi Nakamatsu
      Pages 331-364
  4. Back Matter
    Pages 1-1

About this book

Introduction

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems.

The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

Keywords

Advanced Image and Video Coding Attention in Visual Sequences High Dynamic Photo Sensors Image Coding Intelligent Data Representation Medical Vision Systems Medical Vision Systems Pyramidal Image Representation Pyramidal Image Representation Similarity Learning Model Video Coding

Editors and affiliations

  • Roumen Kountchev
    • 1
  • Kazumi Nakamatsu
    • 2
  1. 1.Technical University of SofiaSofiaBulgaria
  2. 2.University of HyogoKobeJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-24693-7
  • Copyright Information Springer Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-24692-0
  • Online ISBN 978-3-642-24693-7
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site