In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function o
State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. This volume demonstrates the power of the Markov random fi
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works a
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal
Introduces the theory and application of Markov random fields in image processing/computer vision. Modelling images through the local interaction of Markov mode