Applications of Hybrid Metaheuristic Algorithms for Image Processing - Couverture rigide

Couverture rigide

ISBN 10 : 3030409767 ISBN 13 : 9783030409760

Editeur : Springer Nature Switzerland AG, 2020

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.

Détails de l'édition

• Éditeur: Springer Nature Switzerland AG
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 3030409767
• ISBN 13: 9783030409760
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 499
• Éditeur: Oliva Diego, Hinojosa Salvador
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne