Advances in Soft Computing and Machine Learning in Image Processing (Hardcover, 1st ed. 2018)

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 730
Release date:	October 2017
First published:	2018
Editors:	Aboul Ella Hassanien • Diego Alberto Oliva
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	718
Edition:	1st ed. 2018
ISBN-13:	978-3-319-63753-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-319-63753-3
Barcode:	9783319637532

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