Applications of Evolutionary Computation in Image Processing and Pattern Recognition (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 100
Release date:	November 2015
First published:	2016
Authors:	Erik Cuevas • Daniel Zaldivar • Marco Perez-Cisneros
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	274
Edition:	1st ed. 2016
ISBN-13:	978-3-319-26460-8
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-319-26460-5
Barcode:	9783319264608

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