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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables systematic development of optimal vision algorithms when used with optimization principles.

This detailed and thoroughly enhanced third edition presents a comprehensive study / reference to theories, methodologies and recent developments in solving computer vision problems based on MRFs, statistics and optimisation. It treats various problems in low- and high-level computational vision in a systematic and unified way within the MAP-MRF...

This Special Issue cooperates with the 5^th Asian Symposium on Emulsion Polymerization and Functional Polymeric Microspheres (ASEPFPM 2015) (http://asepfpm5.csp.escience.cn). Polymeric microspheres are basic materials for recent progress in environmental science, architecture, biomedicine, electronics, food, cosmetics, etc. While much progress has been made over the past few decades, there are still big challenges for the preparation of functional particles and the verification of preparation mechanisms;...