Advances and Applications of Optimised Algorithms in Image Processing

  • Diego Oliva
  • Erik  Cuevas

Part of the Intelligent Systems Reference Library book series (ISRL, volume 117)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Diego Oliva, Erik Cuevas
    Pages 1-11
  3. Diego Oliva, Erik Cuevas
    Pages 13-21
  4. Diego Oliva, Erik Cuevas
    Pages 43-91
  5. Diego Oliva, Erik Cuevas
    Pages 93-111
  6. Diego Oliva, Erik Cuevas
    Pages 113-134

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 co


Image Processing Optimization Metaheuristics Electromagnetism-Like Algorithm Thresholding Template Matching Circle Detection Blood Cells Detection

Authors and affiliations

  • Diego Oliva
    • 1
  • Erik  Cuevas
    • 2
  1. 1.Tecnológico de Monterrey, Campus Guadalajara, GuadajalaraMexico
  2. 2.University of Guadajalara GuadajalaraMexico

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-48549-2
  • Online ISBN 978-3-319-48550-8
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site