Applications of Evolutionary Computation in Image Processing and Pattern Recognition

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.

Book details

Edition:

1st ed. 2016

Series:

Intelligent Systems Reference Library (Book 100)

Author:

Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros

ISBN:

9783319264622

Related ISBNs:

9783319264608

Publisher:

Springer International Publishing

Pages:

N/A

Reading age:

Not specified

Includes images:

Yes

Date of addition:

2019-09-14

Usage restrictions:

Copyright

Copyright date:

2016

Copyright by:

Springer International Publishing, Cham 

Adult content:

No

Language:

English

Categories:

Art and Architecture, Computers and Internet, Mathematics and Statistics, Nonfiction, Technology