Applications of Hybrid Metaheuristic Algorithms for Image Processing

Salvador Hinojosa

ISBN 10: 3030409767 / ISBN 13: 9783030409760

Published by Springer International Publishing, Springer International Publishing Mär 2020, 2020

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 504 pp. Englisch.

Seller Inventory # 9783030409760

Bibliographic Details

• Title: Applications of Hybrid Metaheuristic Algorithms for Image Processing
• Publisher: Springer International Publishing, Springer International Publishing Mär 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 3030409767
• ISBN 13: 9783030409760
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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.