Advances and Applications of Optimised Algorithms in Image Processing. Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer, 2018
Serie: Buch 91 von 188 - Intelligent Systems Reference Library
- Softcover
- Neu
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Artikelbeschreibung des Verkäufers
Advances and Applications of Optimised Algorithms in Image Processing | Diego Oliva (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xiii | Englisch | 2018 | Springer | EAN 9783319839691 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Bestandsnummer des Verkäufers 114227389
- Titel
- Advances and Applications of Optimised Algorithms in Image Processing
- Autor
- Diego Oliva (u. a.)
- Verlag
- Springer
- Erscheinungsjahr
- 2018
- Zustand
- Neu
- Einband
- Taschenbuch
- Sprache
- Englisch
- ISBN-10
- 3319839691
- ISBN-13
- 9783319839691
- Artikelgewicht
- 300 Gramm
- Abmessungen
- 235 x 155 x 11 mm
- Serie
- Buch 91 von 188: Intelligent Systems Reference Library
- Verkäuferkataloge
- Bücher
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 communities.
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Von der hinteren Coverseite
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
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