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Advances and applications of optimis...

Cuevas, Erik.

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 processingby 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.
Contained By:	Springer eBooks
Subject:	Image processingDigital techniques
Online resource:	http://dx.doi.org/10.1007/978-3-319-48550-8
ISBN:	9783319485508$q(electronic bk.)

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.24..

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$q(electronic bk.)

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

771186
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 771185
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.
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650 0 $a Image processing $x Digital techniques $x Mathematics. $3 256957
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
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