Hybrid Soft Computing for Multilevel Image and Data Segmentation
De, Sourav; Bhattacharyya, Siddhartha; Chakraborty, Susanta; Dutta, Paramartha
ISBN 10: 3319475231 ISBN 13: 9783319475233
Editorial: Springer International Publishing AG, 2017
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Descripción
Descripción:
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 ref. del artículo V9783319475233
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.
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.
Detalles bibliográficos
Título: Hybrid Soft Computing for Multilevel Image ...
Editorial: Springer International Publishing AG
Año de publicación: 2017
Encuadernación: Encuadernación de tapa dura
Condición: New
Edición: 1ª Edición
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Hybrid Soft Computing for Multilevel Image and Data Segmentation (Hardcover)
Publicado por
Springer International Publishing AG, Cham, 2016
ISBN 10: 3319475231
ISBN 13: 9783319475233
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: 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. Nº de ref. del artículo: 9783319475233
Cantidad disponible: 1 disponibles
Imagen de archivo
Hybrid Soft Computing for Multilevel Image and Data Segmentation (Hardcover)
Publicado por
Springer International Publishing AG, Cham, 2016
ISBN 10: 3319475231
ISBN 13: 9783319475233
Nuevo
Tapa dura
Original o primera edición
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: 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. Nº de ref. del artículo: 9783319475233
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