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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-48550-8 http://cds.cern.ch/record/2240493 |
_version_ | 1780953063023968256 |
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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 |
record_format | invenio |
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 |