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Item Details
Title: APPLICATIONS OF EVOLUTIONARY COMPUTATION IN IMAGE PROCESSING AND PATTERN RECOGNITION
Volume: 2016
By: Erik Cuevas (Editor), Daniel Zaldivar (Editor), Marco Perez-Cisneros (Editor)
Format: Hardback

List price: £119.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3319264605
ISBN 13: 9783319264608
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 8 November, 2015
Edition: 2016 ed.
Series: Intelligent Systems Reference Library 100
Pages: 274
Synopsis: 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.
Illustrations: 56 black & white illustrations, 55 colour illustrations, biography
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Returnable
Some other items by this author:
ADVANCES AND APPLICATIONS OF OPTIMISED ALGORITHMS IN IMAGE PROCESSING (HB)
ADVANCES IN METAHEURISTICS ALGORITHMS: METHODS AND APPLICATIONS
ADVANCES IN METAHEURISTICS ALGORITHMS: METHODS AND APPLICATIONS (HB)
ADVANCES OF EVOLUTIONARY COMPUTATION: ME (PB)
ADVANCES OF EVOLUTIONARY COMPUTATION: METHODS AND OPERATORS (HB)
AGENT-BASED MODELS WITH MATLAB
ANALYSIS AND COMPARISON OF METAHEURISTICS
ANALYSIS AND COMPARISON OF METAHEURISTICS (HB)
APPLICATIONS OF EVOLUTIONARY COMPUTATION IN IMAGE PROCESSING AND PATTERN RECOGNITION (PB)
COMPUTATIONAL METHODS WITH MATLAB (R) (HB)
ENGINEERING APPLICATIONS OF SOFT COMPUTING (HB)
ENGINEERING APPLICATIONS OF SOFT COMPUTING (PB)
EVOLUTIONARY COMPUTATION TECHNIQUES: A COMPARATIVE PERSPECTIVE (HB)
EVOLUTIONARY COMPUTATION TECHNIQUES: A COMPARATIVE PERSPECTIVE (PB)
IMAGE PROCESSING AND MACHINE LEARNING
IMAGE PROCESSING AND MACHINE LEARNING, VOLUME 1 (HB)
IMAGE PROCESSING AND MACHINE LEARNING, VOLUME 2 (HB)
METAHEURISTIC COMPUTATION WITH MATLAB (R)
METAHEURISTIC COMPUTATION WITH MATLAB (R) (HB)
METAHEURISTIC COMPUTATION: A PERFORMANCE PERSPECTIVE
METAHEURISTIC COMPUTATION: A PERFORMANCE PERSPECTIVE (HB)
METAHEURISTICS ALGORITHMS IN POWER SYSTEMS (HB)
MODERN METAHEURISTICS IN IMAGE PROCESSING
MODERN METAHEURISTICS IN IMAGE PROCESSING (HB)
NEW ADVANCEMENTS IN SWARM ALGORITHMS: OP (PB)
NEW ADVANCEMENTS IN SWARM ALGORITHMS: OPERATORS AND APPLICATIONS (HB)
NEW METAHEURISTIC SCHEMES: MECHANISMS AND APPLICATIONS (HB)
OPTIMIZATION IN INDUSTRIAL ENGINEERING (HB)
RECENT METAHEURISTIC COMPUTATION SCHEMES IN ENGINEERING
RECENT METAHEURISTIC COMPUTATION SCHEMES IN ENGINEERING (HB)
RECENT METAHEURISTICS ALGORITHMS FOR PARAMETER IDENTIFICATION
RECENT METAHEURISTICS ALGORITHMS FOR PARAMETER IDENTIFICATION (HB)

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