Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing. Although

This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal

This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are described: marked point process and random closed sets

The subject of modelling and application of stochastic processes is too vast to be exhausted in a single volume. In this book, attention is focused on a small s