Combination of Image Segmentation Experts

In the previous section we developed four new models of image segmentation and mentioned the use of different experts based on different texture features that rely on them. It is beneficial to fuse the decisions of different experts on a per pixel basis. In this section we detail the conventionally used strategy of classifier decision combination, called "ensemble based combination rules," and then propose a novel strategy for combining expert outputs, called "adaptive weighted model (AWM)." First of all, we describe a generic framework of combination, and then discuss the combination strategies within that framework.

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