Stochastic Image Processing

Name: Stochastic Image Processing
Brand: Springer-Verlag New York Inc.
SKU: 9781461346937
Price: 2286 CZK
Availability: InStock

Autor: hee Sun Won, Robert M. Gray

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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2 286 Kč

Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random...

Informace o knize

Autor

hee Sun Won, Robert M. Gray

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2013

Stránek

166

EAN

9781461346937

ISBN

1461346932

Enbook ID

02643509

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

290

Rozměry

155 x 235 x 11

Kompletní popis

Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing. Although promoted as a promising approach for over thirty years, it has only been in the past few years that the theory and algorithms have developed to the point of providing useful solutions to old and new problems in image processing. Markov random fields are a multidimensional extension of Markov chains, but the generalization is complicated by the lack of a natural ordering of pixels in multidimensional spaces. Hidden Markov fields are a natural generalization of the hidden Markov models that have proved essential to the development of modern speech recognition, but again the multidimensional nature of the signals makes them inherently more complicated to handle. This added complexity contributed to the long time required for the development of successful methods and applications. This book collects together a variety of successful approaches to a complete and useful characterization of multidimensional Markov and hidden Markov models along with applications to image analysis. The book provides a survey and comparative development of an exciting and rapidly evolving field of multidimensional Markov and hidden Markov random fields with extensive references to the literature.

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