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Applications of Evolutionary Computation in Image Processing and Pattern Recognition

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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.

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Detail Information

Series Title

Intelligent Systems Reference Library

Call Number

006.3 CUE a

Publisher

Cham, Switzerland : Springer Cham., 2015

Collation

XV, 274

Language

English

ISBN/ISSN

978-3-319-26462-2

Classification

006.3

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Artificial Intelligence
Computational Intelligence

Specific Detail Info

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Statement of Responsibility

Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros

Other Information

Cataloger

umi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-26462-2.pdf?pdf=button

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