Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 100)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Applications of Evolutionary Computation in Image Processing and Pattern Recognition
Authors: Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-26462-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-26460-8Published: 17 November 2015
Softcover ISBN: 978-3-319-37099-6Published: 23 August 2016
eBook ISBN: 978-3-319-26462-2Published: 07 November 2015
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XV, 274
Number of Illustrations: 56 b/w illustrations, 55 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Signal, Image and Speech Processing, Image Processing and Computer Vision, Calculus of Variations and Optimal Control; Optimization