Modeling Image Analysis Problems Using Markov Random Fields
Modeling problems in this article are addressed mainly from the computational viewpoint. The primary concerns are how to de ne an objective function for the optimal solution for an image analysis problem and how to nd the optimal solution. The reason for de ning the solution in an optimization sense is due to various uncertainties in imaging processes. It may be diÆcult to nd the perfect solution, so we usually look for an optimal one in the sense that an objective, into which constraints are encoded, is optimized.