Hybrid Soft Computing for Multilevel Image and Data Segmentation (Computational Intelligence Methods and Applications) - Hardcover

Buch 1 von 3: Computational Intelligence Methods and Applications

De, Sourav; Bhattacharyya, Siddhartha; Chakraborty, Susanta; Dutta, Paramartha

 
9783319475233: Hybrid Soft Computing for Multilevel Image and Data Segmentation (Computational Intelligence Methods and Applications)
Hardcover
ISBN 10: 3319475231 ISBN 13: 9783319475233
Verlag: Springer, 2016

Inhaltsangabe

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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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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2016
Sprache
Englisch
ISBN 10 
3319475231
ISBN 13 
9783319475233
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
249
Kontakt zum Hersteller
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Darmstadt
64293
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783319837581: Hybrid Soft Computing for Multilevel Image and Data Segmentation (Computational Intelligence Methods and Applications)

Vorgestellte Ausgabe

ISBN 10:  3319837583 ISBN 13:  9783319837581
Verlag: Springer, 2018
Softcover