Hybrid Soft Computing for Multilevel Image and Data Segmentation
De, Sourav; Bhattacharyya, Siddhartha; Chakraborty, Susanta; Dutta, Paramartha
ISBN 10: 3319475231 ISBN 13: 9783319475233
Edité par Springer International Publishing AG, 2017
Neuf(s)
Couverture rigide
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A propos de cet article
Description :
Series: Computational Intelligence Methods and Applications. Num Pages: 235 pages, 60 black & white illustrations, 39 colour illustrations, 36 colour tables, biography. BIC Classification: UNA; UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 543. . 2017. 1st ed. 2016. Hardback. . . . . N° de réf. du vendeur V9783319475233
Synopsis :
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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Détails bibliographiques
Titre : Hybrid Soft Computing for Multilevel Image ...
Éditeur : Springer International Publishing AG
Date d'édition : 2017
Reliure : Couverture rigide
Etat : New
Edition : Edition originale
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Hybrid Soft Computing for Multilevel Image and Data Segmentation (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2016
ISBN 10 : 3319475231
ISBN 13 : 9783319475233
Neuf
Couverture rigide
Edition originale
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Hardcover. Etat : new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783319475233
Quantité disponible : 1 disponible(s)
Image d'archives
Hybrid Soft Computing for Multilevel Image and Data Segmentation (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2016
ISBN 10 : 3319475231
ISBN 13 : 9783319475233
Neuf
Couverture rigide
Edition originale
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783319475233
Quantité disponible : 1 disponible(s)