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Applications of Hybrid Metaheuristic Algorithms for Image Processing
Hardcover
Series: Studies in Computational Intelligence, Book 890
Technology & EngineeringGeneral Computers
ISBN13: 9783030409760
Publisher: Springer Nature
Published: Mar 28 2020
Pages: 490
Weight: 1.93
Height: 1.06 Width: 6.14 Depth: 9.21
Language: English
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.
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