Authors:
- Provides explanations of the algorithms used, selected problems and implementations, as well as practical examples, comparisons and experimental results
- All chapters are self-contained and can all be read separately
- Offers a compendium of the most interesting electromagnetism applications, e.g. optimization (EMO)-based algorithms for image processing problems
- Guides the reader from the basics of optimization to different case studies
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 117)
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Table of contents (8 chapters)
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Front Matter
About this book
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.
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Authors and Affiliations
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Tecnológico de Monterrey, Campus Guadalajara, , Guadajalara, Mexico
Diego Oliva
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University of Guadajalara , Guadajalara, Mexico
Erik Cuevas
Bibliographic Information
Book Title: Advances and Applications of Optimised Algorithms in Image Processing
Authors: Diego Oliva, Erik Cuevas
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-48550-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-48549-2Published: 30 November 2016
Softcover ISBN: 978-3-319-83969-1Published: 05 July 2018
eBook ISBN: 978-3-319-48550-8Published: 21 November 2016
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIII, 178
Number of Illustrations: 53 b/w illustrations
Topics: Computational Intelligence, Signal, Image and Speech Processing, Artificial Intelligence