Image segmentation using the double Markov random field, with application to land use estimation
Item Type:Conference Paper
Citation:Wilson, S.P., Stefanou, G `Image segmentation using the double Markov random field, with application to land use estimation? in Proceedings of IEEE International Conference on Image Processing, 1, IEEE, 2001, pp 742-745
Image segmentation.pdf (published (publisher copy) peer-reviewed) 464.0Kb
We describe the double Markov random field, a natural hierarchical model for a Bayesian approach to model-based textured image segmentation. The model is difficult to implement, even using Markov chain Monte Carlo (MCMC) methods, so we describe an approximation that is computationally feasible. This is applied to a satellite image. We emphasise the valuable additional information about uncertainties in the segmentation that can be gained from the use of MCMC.
Author: WILSON, SIMON PAUL
Type of material:Conference Paper
Availability:Full text available