Advances and Applications of Optimised Algorithms in Image Processing

Erik Cuevas, Diego Oliva

ISBN 10: 3319485490 / ISBN 13: 9783319485492

Editore: Springer International Publishing, 2016

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Zustand: Sehr gut | Seiten: 192 | Sprache: Englisch | Produktart: Bücher.

Codice articolo 27386463/12

Dati bibliografici

• Titolo: Advances and Applications of Optimised Algorithms in Image Processing
• Editore: Springer International Publishing
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319485490
• ISBN 13: 9783319485492
• Rilegatura: Rilegato
• Condizione: Sehr gut
• Cataloghi dei venditori:
  • Bücher

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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