Overview
- Contributions provide a multidimensional approach
- Useful for researchers in computer science, electrical engineering, and information technology
- Explains various soft computing techniques
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization.
The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.
Editors and Affiliations
Bibliographic Information
Book Title: Hybrid Metaheuristics for Image Analysis
Editors: Siddhartha Bhattacharyya
DOI: https://doi.org/10.1007/978-3-319-77625-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-77624-8Published: 07 August 2018
Softcover ISBN: 978-3-030-08497-4Published: 02 February 2019
eBook ISBN: 978-3-319-77625-5Published: 30 July 2018
Edition Number: 1
Number of Pages: XII, 256
Number of Illustrations: 50 b/w illustrations, 50 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics