Téléchargez le livre : Hybrid Soft Computing for Image Segmentation

Hybrid Soft Computing for Image Segmentation

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Springer


Paru le : 2016-11-12

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Description

This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.
The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.
Pages
321 pages
Collection
n.c
Parution
2016-11-12
Marque
Springer
EAN papier
9783319472225
EAN PDF
9783319472232
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
16476 Ko
Prix
94,94 €
EAN EPUB
9783319472232
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
8970 Ko
Prix
94,94 €

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