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Advances and applications of optimised algorithms in image processing

This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimizati...

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Detalles Bibliográficos
Autores principales: Oliva, Diego, Cuevas, Erik
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-48550-8
http://cds.cern.ch/record/2240493
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author Oliva, Diego
Cuevas, Erik
author_facet Oliva, Diego
Cuevas, Erik
author_sort Oliva, Diego
collection CERN
description This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing co.
id cern-2240493
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
publisher Springer
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spelling cern-22404932021-04-21T19:23:57Zdoi:10.1007/978-3-319-48550-8http://cds.cern.ch/record/2240493engOliva, DiegoCuevas, ErikAdvances and applications of optimised algorithms in image processingEngineeringThis book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing co.Springeroai:cds.cern.ch:22404932017
spellingShingle Engineering
Oliva, Diego
Cuevas, Erik
Advances and applications of optimised algorithms in image processing
title Advances and applications of optimised algorithms in image processing
title_full Advances and applications of optimised algorithms in image processing
title_fullStr Advances and applications of optimised algorithms in image processing
title_full_unstemmed Advances and applications of optimised algorithms in image processing
title_short Advances and applications of optimised algorithms in image processing
title_sort advances and applications of optimised algorithms in image processing
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-48550-8
http://cds.cern.ch/record/2240493
work_keys_str_mv AT olivadiego advancesandapplicationsofoptimisedalgorithmsinimageprocessing
AT cuevaserik advancesandapplicationsofoptimisedalgorithmsinimageprocessing