Editors:
- 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 sources
- Discusses recent research on and applications of hybrid metaheuristic algorithms for image processing
Part of the book series: Studies in Computational Intelligence (SCI, volume 890)
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Table of contents (22 chapters)
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Front Matter
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Hybrid Metaheuristics and Image Segmentation
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Front Matter
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Hybrid Metaheuristics and Other Image Processing Tasks
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Front Matter
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Health Applications
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Front Matter
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About this book
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.
Editors and Affiliations
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CUCEI, University of Guadalajara, Guadajalara, Mexico
Diego Oliva, Salvador Hinojosa
Bibliographic Information
Book Title: Applications of Hybrid Metaheuristic Algorithms for Image Processing
Editors: Diego Oliva, Salvador Hinojosa
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-40977-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-40976-0Published: 28 March 2020
Softcover ISBN: 978-3-030-40979-1Published: 28 March 2021
eBook ISBN: 978-3-030-40977-7Published: 27 March 2020
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: IX, 490
Number of Illustrations: 92 b/w illustrations, 221 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Signal, Image and Speech Processing