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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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Detalles Bibliográficos
Autores principales: Cuevas, Erik, Zaldívar, Daniel, Perez-Cisneros, Marco
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-26462-2
http://cds.cern.ch/record/2112799
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author Cuevas, Erik
Zaldívar, Daniel
Perez-Cisneros, Marco
author_facet Cuevas, Erik
Zaldívar, Daniel
Perez-Cisneros, Marco
author_sort Cuevas, Erik
collection CERN
description 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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spelling cern-21127992021-04-21T20:01:07Zdoi:10.1007/978-3-319-26462-2http://cds.cern.ch/record/2112799engCuevas, ErikZaldívar, DanielPerez-Cisneros, MarcoApplications of evolutionary computation in image processing and pattern recognitionEngineeringThis 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.Springeroai:cds.cern.ch:21127992016
spellingShingle Engineering
Cuevas, Erik
Zaldívar, Daniel
Perez-Cisneros, Marco
Applications of evolutionary computation in image processing and pattern recognition
title Applications of evolutionary computation in image processing and pattern recognition
title_full Applications of evolutionary computation in image processing and pattern recognition
title_fullStr Applications of evolutionary computation in image processing and pattern recognition
title_full_unstemmed Applications of evolutionary computation in image processing and pattern recognition
title_short Applications of evolutionary computation in image processing and pattern recognition
title_sort applications of evolutionary computation in image processing and pattern recognition
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-26462-2
http://cds.cern.ch/record/2112799
work_keys_str_mv AT cuevaserik applicationsofevolutionarycomputationinimageprocessingandpatternrecognition
AT zaldivardaniel applicationsofevolutionarycomputationinimageprocessingandpatternrecognition
AT perezcisnerosmarco applicationsofevolutionarycomputationinimageprocessingandpatternrecognition