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© 2018

Advances in Soft Computing and Machine Learning in Image Processing

  • Aboul Ella Hassanien
  • Diego Alberto Oliva
Book

Part of the Studies in Computational Intelligence book series (SCI, volume 730)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Image Segmentation

    1. Front Matter
      Pages 1-1
    2. Edgar Chavolla, Daniel Zaldivar, Erik Cuevas, Marco A. Perez
      Pages 3-22
    3. Mohamed Abd El Aziz, Ahmed A. Ewees, Aboul Ella Hassanien, Mohammed Mudhsh, Shengwu Xiong
      Pages 23-39
    4. Abdalla Mostafa, Essam H. Houssein, Mohamed Houseni, Aboul Ella Hassanien, Hesham Hefny
      Pages 41-62
    5. Salvador Hinojosa, Gonzalo Pajares, Erik Cuevas, Noé Ortega-Sanchez
      Pages 63-88
    6. Ibrahim A. Zedan, Khaled M. Elsayed, Eid Emary
      Pages 89-109
  3. Applications of Image Processing in Medicine

    1. Front Matter
      Pages 111-111
    2. Ahmed M. Abdeldaim, Ahmed T. Sahlol, Mohamed Elhoseny, Aboul Ella Hassanien
      Pages 131-147
    3. Lakshay Bajaj, Kannu Gupta, Yasha Hasija
      Pages 185-211
    4. Nesma Settouti, Mostafa El Habib Daho, Mohammed El Amine Bechar, Mohamed Amine Lazouni, Mohammed Amine Chikh
      Pages 227-246
  4. Security and Biometric Applications of Image Processing

    1. Front Matter
      Pages 247-247
    2. Mohamed Elhoseny, Ahmed Elkhateb, Ahmed Sahlol, Aboul Ella Hassanien
      Pages 249-276
    3. Mohamed Elhoseny, Amir Nabil, Aboul Ella Hassanien, Diego Oliva
      Pages 295-318
    4. Chinta Someswara Rao, K. V. S. Murthy, R. Shiva Shankar, V. Mnssvkr Gupta
      Pages 319-353
    5. Bradley Schneider, Tanvi Banerjee
      Pages 355-371

About this book

Introduction

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.

Keywords

Soft Computing Computational Intelligence Intelligent Systems Computer Vision Machine Learning

Editors and affiliations

  • Aboul Ella Hassanien
    • 1
  • Diego Alberto Oliva
    • 2
  1. 1.Faculty of Computers and Information, Information Technology DepartmentCairo UniversityGizaEgypt
  2. 2.CUCEI, Departamento de Ciencias ComputacionalesUniversidad de GuadalajaraGuadalajaraMexico

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
  • Series Abbreviated Title Studies Comp.Intelligence
  • DOI https://doi.org/10.1007/978-3-319-63754-9
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-63753-2
  • Softcover ISBN 978-3-319-87627-6
  • eBook ISBN 978-3-319-63754-9
  • 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
  • Buy this book on publisher's site
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Reviews

“Every chapter is well written and comprehensive. New algorithms are presented with experimental results and performance comparisons. The reference materials used are clearly cited. Overall, this well-edited volume consists of rich, highly useful, and relevant material. It will be useful for research students working in soft computing, machine vision, and image processing fields.” (S. Ramakrishnan, Computing Reviews, July, 2018)​