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© 2016

Applications of Evolutionary Computation in Image Processing and Pattern Recognition

Benefits

  • Provides an overview of the different aspects of evolutionary methods

  • Enables the reader to reach a global understanding of the field

  • Structured so that each chapter can be read independently

Book

Part of the Intelligent Systems Reference Library book series (ISRL, volume 100)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
    Pages 1-8
  3. Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
    Pages 9-22
  4. Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
    Pages 23-51
  5. Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
    Pages 53-77
  6. Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
    Pages 79-105
  7. Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
    Pages 107-138
  8. Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
    Pages 169-202
  9. Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
    Pages 203-227
  10. Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
    Pages 229-269
  11. Back Matter
    Pages 271-274

About this book

Introduction

This book presents the use of efficient Evolutionary Computation (EC) algorithms for solving diverse real-world image processing and pattern recognition problems. It provides an overview of the different aspects of evolutionary methods in order to enable the reader in reaching a global understanding of the field and, in conducting studies on specific evolutionary techniques that are related to applications in image processing and pattern recognition. It explains the basic ideas of the proposed applications in a way that can also be understood by readers outside of the field. Image processing and pattern recognition practitioners who are not evolutionary computation researchers will appreciate the discussed techniques beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise on such areas. On the other hand, members of the evolutionary computation community can learn the way in which image processing and pattern recognition problems can be translated into an optimization task. The book has been structured so that each chapter can be read independently from the others. It can serve as reference book for students and researchers with basic knowledge in image processing and EC methods.

Keywords

Evolutionary Computation Evolutionary Methods Image Processing Intelligent Systems Pattern Recognition

Authors and affiliations

  1. 1.CUCEIUniversidad de GuadalajaraGuadalajaraMexico
  2. 2.CUCEIUniversidad de GuadalajaraGuadalajaraMexico
  3. 3.Centro Universitario de TonaláUniversidad de GuadalajaraGuadalajaraMexico

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