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Nature Inspired Optimization Techniques for Image Processing Applications

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Springer


Paru le : 2018-09-19

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Description

This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.
Pages
297 pages
Collection
n.c
Parution
2018-09-19
Marque
Springer
EAN papier
9783319960012
EAN PDF
9783319960029
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
11510 Ko
Prix
95,39 €
EAN EPUB
9783319960029
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
8724 Ko
Prix
95,39 €

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