Applications of Evolutionary Computation in Image Processing and Pattern Recognition
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
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100th Volume of ISRL · 100th Volume of ISRL · 100th Volume of ISRL · 100th Volume of ISRL · 100th Volu
Erik Cuevas Daniel Zaldívar Marco Perez-Cisneros
Applications of Evolutionary Computation in Image Processing and Pattern Recognition
Intelligent Systems Reference Library Volume 100
Series editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] Lakhmi C. Jain, Bournemouth University, Poole, UK, and University of South Australia, Adelaide, Australia e-mail: [email protected]
About this Series The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included.
More information about this series at http://www.springer.com/series/8578
Erik Cuevas Daniel Zaldívar Marco Perez-Cisneros •
Applications of Evolutionary Computation in Image Processing and Pattern Recognition
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Erik Cuevas CUCEI Universidad de Guadalajara Guadalajara Mexico
Marco Perez-Cisneros Centro Universitario de Tonalá Universidad de Guadalajara Guadalajara Mexico
Daniel Zaldívar CUCEI Universidad de Guadalajara Guadalajara Mexico
ISSN 1868-4394 ISSN 1868-4408 (electronic) Intelligent Systems Reference Library ISBN 978-3-319-26460-8 ISBN 978-3-319-26462-2 (eBook) DOI 10.1007/978-3-319-26462-2 Library of Congress Control Number: 2015954589 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omission
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