The next step is to resolve the class membership likelihoods at each pixel into support maps, indicating for each pixel whether it is part of one of the blobs or of the scene. Spatial priors and connectivity constraints are used to accomplish this resolution.
Individual pixels are then assigned to particular classes: either to the
scene texture class or a foreground blob. A classification decision is
made for each pixel by comparing the computed class membership likelihoods
and choosing the best one (in the MAP sense), e.g.,
