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Hybrid soft computing for multilevel image and data segmentation

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Hybrid soft computing for multilevel image and data segmentation/ by Sourav De ... [et al.].
other author:	De, Sourav.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xiv, 235 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Image segmentation. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-47524-0
ISBN:	9783319475240

Hybrid soft computing for multilevel image and data segmentation
Hybrid soft computing for multilevel image and data segmentation[electronic resource] /by Sourav De ... [et al.]. - Cham :Springer International Publishing :2016. - xiv, 235 p. :ill., digital ;24 cm. - Computational intelligence methods and applications,2510-1765. - Computational intelligence methods and applications..

Introduction -- Image Segmentation: A Review -- Self-supervised Gray Level Image Segmentation Using an Optimized MUSIG (OptiMUSIG) Activation Function -- Self-supervised Color Image Segmentation Using Parallel OptiMUSIG (ParaOptiMUSIG) Activation Function -- Self-supervised Gray Level Image Segmentation Using Multiobjective Based Optimized MUSIG (OptiMUSIG) Activation Function -- Self-supervised Color Image Segmentation Using Multiobjective Based Parallel Optimized MUSIG (ParaOptiMUSIG) Activation Function -- Unsupervised Genetic Algorithm Based Automatic Image Segmentation and Data Clustering Technique Validated by Fuzzy Intercluster Hostility Index.

This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures. This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

ISBN: 9783319475240

Standard No.: 10.1007/978-3-319-47524-0doiSubjects--Topical Terms:

1062552
Image segmentation.

LC Class. No.: TA1632

Dewey Class. No.: 006.6

Hybrid soft computing for multilevel image and data segmentation
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245 0 0 $a Hybrid soft computing for multilevel image and data segmentation $h [electronic resource] / $c by Sourav De ... [et al.].
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300 $a xiv, 235 p. : $b ill., digital ; $c 24 cm.
490 1 $a Computational intelligence methods and applications, $x 2510-1765
505 0 $a Introduction -- Image Segmentation: A Review -- Self-supervised Gray Level Image Segmentation Using an Optimized MUSIG (OptiMUSIG) Activation Function -- Self-supervised Color Image Segmentation Using Parallel OptiMUSIG (ParaOptiMUSIG) Activation Function -- Self-supervised Gray Level Image Segmentation Using Multiobjective Based Optimized MUSIG (OptiMUSIG) Activation Function -- Self-supervised Color Image Segmentation Using Multiobjective Based Parallel Optimized MUSIG (ParaOptiMUSIG) Activation Function -- Unsupervised Genetic Algorithm Based Automatic Image Segmentation and Data Clustering Technique Validated by Fuzzy Intercluster Hostility Index.
520 $a This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures. This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.
650 0 $a Image segmentation. $3 1062552
650 0 $a Soft computing. $3 562548
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650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
700 1 $a De, Sourav. $3 1115379
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950 $a Computer Science (Springer-11645)