Iconic Fuzzy Sets for MR Image Segmentation

In this paper we present an approach to the top-down analysis of magnetic resonance images using the concept of iconic fuzzy sets. A symbolic model is used to describe the properties and relationships of scene objects. Using iconic fuzzy sets as pixel level representations of image objects, and fuzzy operationalizations of relations of these objects, a new framework for image analysis can be defined. We will demonstrate the feasibility of the approach with a detailed example of a supraorbital transaxial MRI brain slice.