Editors:
- Provides a collection of high-quality research work that addresses broad challenges in both theoretical and application aspects of soft computing and machine learning in image processing and computer vision
- Presents original research that stimulates the continuing efforts on the application of computational intelligence (CI) approaches to solve image-processing problems and computer vision problems
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 730)
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Table of contents (31 chapters)
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Front Matter
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Image Segmentation
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Front Matter
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Applications of Image Processing in Medicine
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Front Matter
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Security and Biometric Applications of Image Processing
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Front Matter
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About this book
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.
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Editors and Affiliations
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Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt
Aboul Ella Hassanien
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CUCEI, Departamento de Ciencias Computacionales, Universidad de Guadalajara, Guadalajara, Mexico
Diego Alberto Oliva
Bibliographic Information
Book Title: Advances in Soft Computing and Machine Learning in Image Processing
Editors: Aboul Ella Hassanien, Diego Alberto Oliva
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-63754-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-63753-2Published: 25 October 2017
Softcover ISBN: 978-3-319-87627-6Published: 09 September 2018
eBook ISBN: 978-3-319-63754-9Published: 13 October 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 718
Number of Illustrations: 114 b/w illustrations, 195 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Signal, Image and Speech Processing