Applications of Hybrid Metaheuristic Algorithms for Image Processing
Language: English
Published by Springer International Publishing, 2021
Series: Book 396 of 538 - Studies in Computational Intelligence
- Softcover
- New
Condition: New
£ 126.14
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the latest tools used for image processing and hybrid metaheuristic algorithms Focuses on the theory and application of metaheuristic algorithms for segmentation of images from different sourcesDiscusses recent research on a.
Seller Inventory # 457789645
- Title
- Applications of Hybrid Metaheuristic Algorithms for Image Processing
- Publisher
- Springer International Publishing
- Publication year
- 2021
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030409791
- ISBN 13
- 9783030409791
- Series
- Book 396 of 538: Studies in Computational Intelligence
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing.
The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing.
The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.
"About the title" may belong to another edition of this title.
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