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New Approaches in Intelligent Image Analysis

Techniques, Methodologies and Applications

  • Book
  • © 2016

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, Chuo-ku, Japan

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    You can also search for this editor in PubMed   Google Scholar

  • Presents new approaches in intelligent control
  • Describes corresponding methods, original algorithms and applications
  • Presents techniques for solving particular tasks involving intelligent control
  • Targeted at researchers interested in new and non-conventional approaches in contemporary intelligent process control
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 108)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xx
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  2. New Approaches for Hierarchical Image Decomposition, Based on IDP, SVD, PCA and KPCA

    • Roumen Kountchev, Roumiana Kountcheva
    Pages 1-58

  3. Intelligent Digital Signal Processing and Feature Extraction Methods

    • János Szalai, Ferenc Emil Mózes
    Pages 59-91

  4. Multi-dimensional Data Clustering and Visualization via Echo State Networks

    • Petia Koprinkova-Hristova
    Pages 93-122

  5. Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems

    • Margarita Favorskaya, Lakhmi C. Jain, Alexander Proskurin
    Pages 123-155

  6. An Evolutionary Optimization Control System for Remote Sensing Image Processing

    • Victoria Fox, Mariofanna Milanova
    Pages 157-181

  7. Tissue Segmentation Methods Using 2D Histogram Matching in a Sequence of MR Brain Images

    • Vladimir Kanchev, Roumen Kountchev
    Pages 183-222

  8. Multistage Approach for Simple Kidney Cysts Segmentation in CT Images

    • Veska Georgieva, Ivo Draganov
    Pages 223-251

  9. Audio Visual Attention Models in the Mobile Robots Navigation

    • Snejana Pleshkova, Alexander Bekiarski
    Pages 253-294

  10. Local Adaptive Image Processing

    • Rumen Mironov
    Pages 295-330

  11. Machine Learning Techniques for Intelligent Access Control

    • Wael H. Khalifa, Mohamed I. Roushdy, Abdel-Badeeh M. Salem
    Pages 331-351

  12. Experimental Evaluation of Opportunity to Improve the Resolution of the Acoustic Maps

    • Volodymyr  Kudriashov
    Pages 353-373
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Keywords

About this book

This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics:

  • Methods for Hierarchical Image Decomposition;
  • Intelligent Digital Signal Processing and Feature Extraction;
  • Data Clustering and Visualization via Echo State Networks;
  • Clustering of Natural Images in Automatic Image Annotation Systems;
  • Control System for Remote Sensing Image Processing;
  • Tissue Segmentation of MR Brain Images Sequence;
  • Kidney Cysts Segmentation in CT Images;
  • Audio Visual Attention Models in Mobile Robots Navigation;
  • Local Adaptive Image Processing;
  • Learning Techniques for Intelligent Access Control;
  • Resolution Improvement in Acoustic Maps.

Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.

Editors and Affiliations

  • Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

  • University of Hyogo, Chuo-ku, Japan

    Kazumi Nakamatsu

Bibliographic Information

  • Book Title: New Approaches in Intelligent Image Analysis

  • Book Subtitle: Techniques, Methodologies and Applications

  • Editors: Roumen Kountchev, Kazumi Nakamatsu

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-32192-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-32190-5Published: 27 May 2016

  • Softcover ISBN: 978-3-319-81219-9Published: 30 May 2018

  • eBook ISBN: 978-3-319-32192-9Published: 19 May 2016

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XX, 373

  • Number of Illustrations: 38 b/w illustrations, 119 illustrations in colour

  • Topics: Computational Intelligence, Control and Systems Theory, Artificial Intelligence, Systems Theory, Control

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