Applications of Evolutionary Computation in Image Processing and Pattern Recognition

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...

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Detaylı Bibliyografya
Asıl Yazarlar: Cuevas, Erik (Yazar), Zaldívar, Daniel (Yazar), Perez-Cisneros, Marco (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:Intelligent Systems Reference Library, 100
Konular:
Computational intelligence.
Artificial intelligence.
Signal processing.
Computer vision.
Mathematical optimization.
Calculus of variations.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Computer Vision.
Calculus of Variations and Optimization.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:XV, 274 p. 111 illus., 55 illus. in color. online resource.
ISBN:9783319264622
ISSN:1868-4408 ;
DOI:10.1007/978-3-319-26462-2

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