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

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

 
9783319837581: Hybrid Soft Computing for Multilevel Image and Data Segmentation (Computational Intelligence Methods and Applications)
Tapa blanda
ISBN 10: 3319837583 ISBN 13: 9783319837581
Editorial: Springer, 2018

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3319837583
ISBN 13 
9783319837581
Encuadernación
Tapa blanda
Número de páginas
252
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Alemania

Otras ediciones populares con el mismo título

9783319475233: Hybrid Soft Computing for Multilevel Image and Data Segmentation (Computational Intelligence Methods and Applications)

Edición Destacada

ISBN 10:  3319475231 ISBN 13:  9783319475233
Editorial: Springer, 2016
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