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Advances and Applications of Optimised Algorithms in Image Processing
Kategorie	Beschreibung
036a	XA-DE
037b	eng
087q	978-3-319-48549-2
100	Oliva, Diego
104b	Cuevas, Erik
331	Advances and Applications of Optimised Algorithms in Image Processing
410	Cham
412	Springer
425	2017
425a	2017
433	Online-Ressource (XIII, 178 p. 53 illus, online resource)
451	Intelligent Systems Reference Library ; 117
527	Druckausg.ISBN: 978-3-319-48549-2
527	Printed editionISBN: 978-3-319-48549-2
540a	ISBN 978-3-319-48550-8
700	\|UYQ
700	\|COM004000
700	\|*68-01
700	\|68T05
700	\|68T10
700	\|68U10
700	\|92C55
700	\|94A08
700b	\|006.3
700c	\|Q342
750	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 co
753	An introduction to machine learning -- Optimization -- Electromagnetism - Like Optimization Algorithm: An Introduction -- Digital image segmentation as an optimization problem -- Template matching using a physical inspired algorithm.-Detection of circular shapes in digital images -- A medical application: Blood cell segmentation by circle detection -- An EMO Improvement: Opposition-Based Electromagnetism-Like for Global Optimization
012	480950601
081	Oliva, Diego: Advances and Applications of Optimised Algorithms in Image Processing
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-319-48550-8