Applications of Evolutionary Computation in Image Processing and Pattern Recognition
Language: English
Published by Springer International Publishing, 2016
Series: Book 73 of 188 - Intelligent Systems Reference Library
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
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Condition: New
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Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an overview of the different aspects of evolutionary methodsEnables the reader to reach a global understanding of the fieldStructured so that each chapter can be read independentlyThis book presents the use of efficientE.
Seller Inventory # 448748052
- Title
- Applications of Evolutionary Computation in Image Processing and Pattern Recognition
- Author
- Erik Cuevas|Daniel Zaldívar|Marco Perez-Cisneros
- Publisher
- Springer International Publishing
- Publication year
- 2016
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319370995
- ISBN 13
- 9783319370996
- Series
- Book 73 of 188: Intelligent Systems Reference Library
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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