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Advances in soft computing and machi...

Hassanien, Aboul Ella.

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Advances in soft computing and machine learning in image processing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in soft computing and machine learning in image processing/ edited by Aboul Ella Hassanien, Diego Alberto Oliva.
other author:	Hassanien, Aboul Ella.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xii, 718 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation -- Multi-objective Whale Optimization Algorithm for Multi-level Thresholding Segmentation -- Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images -- Thermal Image Segmentation Using Evolutionary Computation Techniques -- News Videos Segmentation Using Dominant Colors Representation.
Contained By:	Springer eBooks
Subject:	Image processing - Digital techniques. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-63754-9
ISBN:	9783319637549

Advances in soft computing and machine learning in image processing
Advances in soft computing and machine learning in image processing[electronic resource] /edited by Aboul Ella Hassanien, Diego Alberto Oliva. - Cham :Springer International Publishing :2018. - xii, 718 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7301860-949X ;. - Studies in computational intelligence ;v.730..

Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation -- Multi-objective Whale Optimization Algorithm for Multi-level Thresholding Segmentation -- Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images -- Thermal Image Segmentation Using Evolutionary Computation Techniques -- News Videos Segmentation Using Dominant Colors Representation.

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.

ISBN: 9783319637549

Standard No.: 10.1007/978-3-319-63754-9doiSubjects--Topical Terms:

532550
Image processing
--Digital techniques.

LC Class. No.: TA1637

Dewey Class. No.: 006.42

Advances in soft computing and machine learning in image processing
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245 0 0 $a Advances in soft computing and machine learning in image processing $h [electronic resource] / $c edited by Aboul Ella Hassanien, Diego Alberto Oliva.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xii, 718 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.730
505 0 $a Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation -- Multi-objective Whale Optimization Algorithm for Multi-level Thresholding Segmentation -- Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images -- Thermal Image Segmentation Using Evolutionary Computation Techniques -- News Videos Segmentation Using Dominant Colors Representation.
520 $a 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.
650 0 $a Image processing $x Digital techniques. $3 532550
650 0 $a Soft computing. $3 563033
650 0 $a Machine learning. $3 533906
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Signal, Image and Speech Processing. $3 891073
700 1 $a Hassanien, Aboul Ella. $3 900657
700 1 $a Oliva, Diego Alberto. $3 3297449
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.730. $3 3297450
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-63754-9
950 $a Engineering (Springer-11647)