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Advances and applications of optimis...

Oliva, Diego.

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Advances and applications of optimised algorithms in image processing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances and applications of optimised algorithms in image processing/ by Diego Oliva, Erik Cuevas.
Author:	Oliva, Diego.
other author:	Cuevas, Erik.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xiii, 178 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Image processing - Digital techniques -
Online resource:	http://dx.doi.org/10.1007/978-3-319-48550-8
ISBN:	9783319485508

Advances and applications of optimised algorithms in image processing
Oliva, Diego.

Advances and applications of optimised algorithms in image processing[electronic resource] /by Diego Oliva, Erik Cuevas. - Cham :Springer International Publishing :2017. - xiii, 178 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1171868-4394 ;. - Intelligent systems reference library ;v.117..

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.

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.

ISBN: 9783319485508

Standard No.: 10.1007/978-3-319-48550-8doiSubjects--Topical Terms:

698889
Image processing
--Digital techniques

LC Class. No.: TA1637

Dewey Class. No.: 006.6

Advances and applications of optimised algorithms in image processing
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100 1 $a Oliva, Diego. $3 3218447
245 1 0 $a Advances and applications of optimised algorithms in image processing $h [electronic resource] / $c by Diego Oliva, Erik Cuevas.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiii, 178 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.117
505 0 $a 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.
520 $a 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.
650 0 $a Image processing $x Digital techniques $x Data processing. $3 698889
650 0 $a Image processing $x Digital techniques $x Mathematics. $3 615087
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Cuevas, Erik. $3 2180030
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830 0 $a Intelligent systems reference library ; $v v.117. $3 3218448
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-48550-8
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