Applications of Hybrid Metaheuristic Algorithms for Image Processing

Released on by Diego Oliva
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  • Applications of Hybrid Metaheuristic Algorithms for Image Processing Book Detail

  • Author : Diego Oliva
  • Release Date : 2020-03-27
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 488
  • ISBN 13 : 3030409775
  • File Size : 33,33 MB
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Applications of Hybrid Metaheuristic Algorithms for Image Processing by Diego Oliva PDF Summary

Book Description: This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.

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Hybrid Metaheuristics for Image Analysis

Hybrid Metaheuristics for Image Analysis

File Size : 24,24 MB
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This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image s