Cellular Automata in Image Processing and Geometry

  • Paul Rosin
  • Andrew Adamatzky
  • Xianfang Sun

Part of the Emergence, Complexity and Computation book series (ECC, volume 10)

Table of contents

  1. Front Matter
    Pages 1-14
  2. Konstantinos Ioannidis, Georgios Ch. Sirakoulis, Ioannis Andreadis
    Pages 25-45
  3. Daniel Díaz-Pernil, Francisco Peña-Cantillana, Miguel A. Gutiérrez-Naranjo
    Pages 47-63
  4. Vassilios Mardiris, Vassilios Chatzis
    Pages 65-84
  5. Paul L. Rosin, Xianfang Sun
    Pages 85-103
  6. Dijana Tralic, Paul L. Rosin, Xianfang Sun, Sonja Grgic
    Pages 105-125
  7. Ahmad Pahlavan Tafti, Hamid Hassannia
    Pages 127-145
  8. Luidnel Maignan, Frédéric Gruau
    Pages 183-204
  9. Seyyed Amir Hadi Minoofam, Mohammad Mahdi Dehshibi, Azam Bastanfard, Jamshid Shanbehzadeh
    Pages 233-252
  10. Back Matter
    Pages 273-304

About this book

Introduction

The book presents findings, views and ideas on what exact problems of image processing, pattern recognition and generation can be efficiently solved by cellular automata architectures. This volume provides a convenient collection in this area, in which publications are otherwise widely scattered throughout the literature. The topics covered include image compression and resizing; skeletonization, erosion and dilation; convex hull computation, edge detection and segmentation; forgery detection and content based retrieval; and pattern generation.

The book advances the theory of image processing, pattern recognition and generation as well as the design of efficient algorithms and hardware for parallel image processing and analysis. It is aimed at computer scientists, software programmers, electronic engineers, mathematicians and physicists, and at everyone who studies or develops cellular automaton algorithms and tools for image processing and analysis, or develops novel architectures and implementations of massive parallel computing devices.

The book will provide attractive reading for a general audience because it has do-it-yourself appeal: all the computer experiments presented within it can be implemented with minimal knowledge of programming. The simplicity yet substantial functionality of the cellular automaton approach, and the transparency of the algorithms proposed, makes the text ideal supplementary reading for courses on image processing, parallel computing, automata theory and applications.

Keywords

Cellular Automata Computational Geometry Image Processing

Editors and affiliations

  • Paul Rosin
    • 1
  • Andrew Adamatzky
    • 2
  • Xianfang Sun
    • 3
  1. 1.School of Computer Science & InformaticsCardiff UniversityCardiffUnited Kingdom
  2. 2.Unconventional Computing CentreUniversity of the West of EnglandBristolUnited Kingdom
  3. 3.School of Computer Science & InformaticsCardiff UniversityCardiffUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-06431-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-06430-7
  • Online ISBN 978-3-319-06431-4
  • Series Print ISSN 2194-7287
  • Series Online ISSN 2194-7295
  • About this book
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