Advances and Applications of Optimised Algorithms in Image Processing (Hardcover, 1st ed. 2017)

This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 117
Release date:	November 2016
First published:	2017
Authors:	Diego Oliva • Erik Cuevas
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Hardcover
Pages:	178
Edition:	1st ed. 2017
ISBN-13:	978-3-319-48549-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-319-48549-0
Barcode:	9783319485492

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