Applications of Hybrid Metaheuristic Algorithms for Image Processing (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 890
Release date:	April 2020
First published:	2020
Editors:	Diego Oliva • Salvador Hinojosa
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	490
Edition:	1st ed. 2020
ISBN-13:	978-3-03-040976-0
Categories:	Books > Computing & IT > Applications of computing > Signal processing Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-03-040976-7
Barcode:	9783030409760

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