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Hybrid soft computing for multilevel...

De, Sourav.

Hybrid soft computing for multilevel image and data segmentation

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hybrid soft computing for multilevel image and data segmentationby Sourav De ... [et al.].
其他作者:	De, Sourav.
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xiv, 235 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Image segmentation.
電子資源:	http://dx.doi.org/10.1007/978-3-319-47524-0
ISBN:	9783319475240$q(electronic bk.)

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$q(electronic bk.)

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

710586
Image segmentation.

LC Class. No.: TA1632

Dewey Class. No.: 006.6

Hybrid soft computing for multilevel image and data segmentation
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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.
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