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Advances in Reasoning-Based Image Processing Intelligent Systems

Conventional and Intelligent Paradigms

  • Book
  • © 2012

Overview

Editors:
  1. Roumen Kountchev

    1. Technical University of Sofia, Sofia, Bulgaria

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    You can also search for this editor in PubMed   Google Scholar

  2. Kazumi Nakamatsu

    1. University of Hyogo, Kobe, Japan

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    You can also search for this editor in PubMed   Google Scholar

  • Presents contemporary techniques for reasoning-based image processing and analysis
  • Overview of reasoning-based image processing intelligent systems
  • Written by leading experts in the field

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

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Table of contents (14 chapters)

  1. Front Matter

    Pages 1-12
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  2. Intelligent Image Processing

    1. Front Matter

      Pages 1-1
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    2. Advances in Reasoning-Based Image Processing and Pattern Recognition

      • Roumen Kountchev, Kazumi Nakamatsu
      Pages 3-8

    3. Performance Analysis and Comparison of the Dirac Video Codec with H.264/MPEG-4, Part 10

      • Aruna Ravi, K. R. Rao
      Pages 9-34

    4. Linear and Non-linear Inverse Pyramidal Image Representation: Algorithms and Applications

      • Roumen Kountchev, Vladimir Todorov, Roumiana Kountcheva
      Pages 35-89

    5. Preserving Data Integrity of Encoded Medical Images: The LAR Compression Framework

      • Marie Babel, François Pasteau, Clément Strauss, Maxime Pelcat, Laurent Bédat, Médéric Blestel et al.
      Pages 91-125

    6. Image Processing in Medicine

      • Baigalmaa Tsagaan, Hiromasa Nakatani
      Pages 127-146

    7. Attention in Image Sequences: Biology, Computational Models, and Applications

      • Mariofanna Milanova, Engin Mendi
      Pages 147-170

  3. Pattern Recognition, Image Data Mining and Intelligent Systems

    1. Front Matter

      Pages 171-171
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    2. Visual Mobile Robots Perception for Motion Control

      • Alexander Bekiarski
      Pages 173-209

    3. Motion Estimation for Objects Analysis and Detection in Videos

      • Margarita Favorskaya
      Pages 211-253

    4. Shape-Based Invariant Feature Extraction for Object Recognition

      • Mingqiang Yang, Kidiyo Kpalma, Joseph Ronsin
      Pages 255-314

    5. Object-Based Image Retrieval System Using Rough Set Approach

      • Neveen I. Ghali, Wafaa G. Abd-Elmonim, Aboul Ella Hassanien
      Pages 315-329

    6. Paraconsistent Artificial Neural Networks and Delta, Theta, Alpha, and Beta Bands Detection

      • Jair Minoro Abe, Helder F. S. Lopes, Kazumi Nakamatsu
      Pages 331-364

    7. Paraconsistent Artificial Neural Networks and Pattern Recognition: Speech Production Recognition and Cephalometric Analysis

      • Jair Minoro Abe, Kazumi Nakamatsu
      Pages 365-382

    8. On Creativity and Intelligence in Computational Systems

      • Stuart H. Rubin
      Pages 383-421

    9. Method for Intelligent Representation of Research Activities of an Organization over a Taxonomy of Its Field

      • Boris Mirkin, Susana Nascimento, Luís Moniz Pereira
      Pages 423-454

  4. Back Matter

    Pages 1-1
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Keywords

About this book

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.

Editors and Affiliations

  • Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

  • University of Hyogo, Kobe, Japan

    Kazumi Nakamatsu

Bibliographic Information

  • Book Title: Advances in Reasoning-Based Image Processing Intelligent Systems

  • Book Subtitle: Conventional and Intelligent Paradigms

  • Editors: Roumen Kountchev, Kazumi Nakamatsu

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-642-24693-7

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Berlin Heidelberg 2012

  • Hardcover ISBN: 978-3-642-24692-0Published: 13 January 2012

  • Softcover ISBN: 978-3-642-44623-8Published: 23 February 2014

  • eBook ISBN: 978-3-642-24693-7Published: 13 January 2012

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XII, 456

  • Topics: Computational Intelligence, Artificial Intelligence

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