Author: Society of Photo-optical Instrumentation EngineersPublisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 536
Book Description
Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision
Author: Society of Photo-optical Instrumentation EngineersPublisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 536
Book Description
Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision
Author: Su-Shing ChenPublisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 515
Book Description
Neural, Morphological, and Stochastic Methods in Image and Signal Processing
Author: Edward R. DoughertyPublisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Computers
Languages : en
Pages : 320
Book Description
Neural and Stochastic Methods in Image and Signal Processing
Author: Neural and Stochastic Methods in Image and Signal Processing II
Author: Su-Shing ChenPublisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 306
Book Description
Neural and Stochastic Methods in Image and Signal Processing
Author: Su-Shing ChenPublisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 754
Book Description
Neural and Stochastic Methods in Image and Signal Processing II
Author: Su-shing ChenPublisher:
ISBN: 9780819412812
Category : Computer vision
Languages : en
Pages : 306
Book Description
Neural and Stochastic Methods in Image and Signal Processing III
Author: Su-Shing ChenPublisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 272
Book Description
Stochastic Image Processing
Author: Chee Sun WonPublisher: Springer Science & Business Media
ISBN: 1441988572
Category : Computers
Languages : en
Pages : 176
Book Description
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.
Neural, Morphological, and Stochastic Methods in Image and Signal Processing
Author: Edward R. DoughertyPublisher:
ISBN:
Category : Image analysis
Languages : en
Pages : 304
Book Description