Image Segmentation by Locally Specified Multi-coloured Polygonal Markov Fields
Patrycja Kaminska, Michał Matuszak · 2014
We introduce a class of multi-coloured polygonal Markov fields driven by local activity functions. Whereas the local rather than global nature of the field specification ensures substantial additional flexibility for statistical applications in comparison to classical polygonal fields. Within the framework of this theory we develop an image segmentation algorithm based on Markovian optimisation dynamics combining the simulated annealing ideas with those of Chen-style stochastic optimisation, in which successive segmentation updates are carried out simultaneously with adaptive optimisation of the local activity functions.