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Nature Inspired Optimization Techniques for Image Processing Applications

  • Jude Hemanth
  • Valentina Emilia Balas

Part of the Intelligent Systems Reference Library book series (ISRL, volume 150)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. S. N. Kumar, A. Lenin Fred, H. Ajay Kumar, P. Sebastin Varghese
    Pages 1-28
  3. A. Lenin Fred, S. N. Kumar, H. Ajay Kumar, W. Abisha
    Pages 29-54
  4. S. R. Jino Ramson, K. Lova Raju, S. Vishnu, Theodoros Anagnostopoulos
    Pages 113-145
  5. Noor A. Jebril, Qasem Abu Al-Haija
    Pages 189-213
  6. R. Ramya, K. Srinivasan, B. Sharmila, K. Priya Dharshini
    Pages 279-297

About this book

Introduction

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.

Keywords

Nature Inspired Techniques Optimization Algorithms Image Processing Computer Vision Optimization Nature Inspired Optimization Nature Inspired Algorithms

Editors and affiliations

  • Jude Hemanth
    • 1
  • Valentina Emilia Balas
    • 2
  1. 1.Department of Electronics and Communication EngineeringKarunya University CoimbatoreIndia
  2. 2.Department of Automation and Applied InformaticsAurel Vlaicu University of Arad AradRomania

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-96002-9
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-96001-2
  • Online ISBN 978-3-319-96002-9
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site
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