Books > Computing & IT > Applications of computing > Image processing
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Stochastic Image Processing (Hardcover, 2004 ed.)
Loot Price: R2,791
Discovery Miles 27 910
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Stochastic Image Processing (Hardcover, 2004 ed.)
Series: Information Technology: Transmission, Processing and Storage
Expected to ship within 10 - 15 working days
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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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