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Hybrid Metaheuristics for Image Analysis

Editors: Bhattacharyya, Siddhartha (Ed.)

  • 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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eBook $84.99
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  • ISBN 978-3-319-77625-5
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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.

Table of contents (9 chapters)

Table of contents (9 chapters)
  • Current and Future Trends in Segmenting Satellite Images Using Hybrid and Dynamic Genetic Algorithms

    Pages 1-31

    Awad, Mohamad M.

  • A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation

    Pages 33-48

    Djemame, Safia (et al.)

  • Genetic Algorithm Implementation to Optimize the Hybridization of Feature Extraction and Metaheuristic Classifiers

    Pages 49-86

    Singh, Geetika (et al.)

  • Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm

    Pages 87-114

    Sagayam, K. Martin (et al.)

  • Satellite Image Contrast Enhancement Using Fuzzy Termite Colony Optimization

    Pages 115-144

    Biswas, Biswajit (et al.)

Buy this book

eBook $84.99
price for USA in USD
  • ISBN 978-3-319-77625-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
Softcover $109.00
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Hybrid Metaheuristics for Image Analysis
Editors
  • Siddhartha Bhattacharyya
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-77625-5
DOI
10.1007/978-3-319-77625-5
Hardcover ISBN
978-3-319-77624-8
Softcover ISBN
978-3-030-08497-4
Edition Number
1
Number of Pages
XII, 256
Number of Illustrations
50 b/w illustrations, 50 illustrations in colour
Topics

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