Advances in Soft Computing and Machine Learning in Image Processing (Studies in Computational Intelligence, 730, Band 730) [Hardcover] Hassanien, Aboul Ella and Oliva, Diego Alberto
Language: English
Published by Springer, 2017
Series: Book 250 of 538 - Studies in Computational Intelligence
- First Edition
- Hardcover
- Used
Seller: SpringBooks, Berlin, GermanySpringBooks
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Condition: Used
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- Title
- Advances in Soft Computing and Machine Learning in Image Processing (Studies in Computational Intelligence, 730, Band 730) [Hardcover] Hassanien, Aboul Ella and Oliva, Diego Alberto
- Author
- Hassanien, Aboul Ella; Oliva, Diego Alberto
- Publisher
- Springer
- Publication year
- 2017
- Condition
- Very Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319637533
- ISBN 13
- 9783319637532
- Edition
- 1. Auflage
- Series
- Book 250 of 538: Studies in Computational Intelligence
This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.
The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.
The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
"About the title" may belong to another edition of this title.
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