Biologically Rationalized Computing Techniques For Image Processing Applications

  • Jude Hemanth
  • Valentina Emilia Balas

Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 25)

Table of contents

  1. Front Matter
    Pages i-vi
  2. A. Diana Andrushia, R. Thangarjan
    Pages 21-42
  3. Jin Sung Park, Daniela López De Luise, Jude Hemanth
    Pages 43-55
  4. K. Martin Sagayam, J. Felix Jacob Edwin, J. Sujith Christopher, Gowru Vamsidhar Reddy, Robert Bestak, Lim Chot Hun
    Pages 111-132
  5. Maria Aparecida de Jesus, Vania V. Estrela, Osamu Saotome, Dalmo Stutz
    Pages 317-337

About this book


This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing – not providing the simultaneous benefits of high accuracy and less complexity – can be overcome, proposing bio-inspired methodologies to help do so. 

Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike.


Bio-inspired algorithms Image processing Computational Intelligence Soft Computing Computer vision

Editors and affiliations

  • Jude Hemanth
    • 1
  • Valentina Emilia Balas
    • 2
  1. 1.Karunya UniversityCoimbatoreIndia
  2. 2.Faculty of EngineeringAurel Vlaicu University of AradAradRomania

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-61315-4
  • Online ISBN 978-3-319-61316-1
  • Series Print ISSN 2212-9391
  • Series Online ISSN 2212-9413
  • Buy this book on publisher's site
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