Stochastic Image Processing

Name: Stochastic Image Processing
Brand: Springer Science+Business Media
SKU: 9780306481925
Price: 2567 CZK
Availability: InStock

Autor: hee Sun Won, Robert M. Gray

Jazyk:

Vazba: Pevná

Vydavatel: Springer Science+Business Media

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 13-18 dnů

2 567 Kč

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

Informace o knize

Autor

hee Sun Won, Robert M. Gray

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2004

Stránek

166

EAN

9780306481925

ISBN

0306481928

Enbook ID

01379716

Vydavatel

Springer Science+Business Media

Hmotnost

430

Rozměry

157 x 234 x 17

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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