Bio-Inspired Computation and Applications in Image Processing

Nonfiction, Computers, Application Software, Computer Graphics, Art & Architecture, Photography, General Computing
Cover of the book Bio-Inspired Computation and Applications in Image Processing by Xin-She Yang, João Paulo Papa, Elsevier Science
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Author: Xin-She Yang, João Paulo Papa ISBN: 9780128045374
Publisher: Elsevier Science Publication: August 9, 2016
Imprint: Academic Press Language: English
Author: Xin-She Yang, João Paulo Papa
ISBN: 9780128045374
Publisher: Elsevier Science
Publication: August 9, 2016
Imprint: Academic Press
Language: English

Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field.

In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue.

  • Reviews the latest developments in bio-inspired computation in image processing
  • Focuses on the introduction and analysis of the key bio-inspired methods and techniques
  • Combines theory with real-world applications in image processing
  • Helps solve complex problems in image and signal processing
  • Contains a diverse range of self-contained case studies in real-world applications
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field.

In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue.

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