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Advances and Applications of Optimised Algorithms in Image Processing (Intelligent Systems Reference Library, 117) - Hardcover

 
9783319485492: Advances and Applications of Optimised Algorithms in Image Processing (Intelligent Systems Reference Library, 117)

Synopsis

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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Review

“This book examines the application of optimization to common problems in image processing: segmentation, template matching, and shape detection. ... Readers interested in improving the accuracy or performance of image processing systems would do well to read this book.” (Creed Jones, Computing Reviews, May, 2017)

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  • PublisherSpringer
  • Publication date2016
  • ISBN 10 3319485490
  • ISBN 13 9783319485492
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages191

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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 192 pp. Englisch. Seller Inventory # 9783319485492

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783319485492

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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides explanations of the algorithms used, selected problems and implementations, as well as practical examples, comparisons and experimental resultsAll chapters are self-contained and can all be read separatelyOffers a compendium of the. Seller Inventory # 130627986

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Hardcover. Condition: Brand New. 191 pages. 9.25x6.10x0.50 inches. In Stock. Seller Inventory # x-3319485490

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