Abstract

The goal of this work is to evaluate the segmentation of MR images using the multispectral fusion approach in the possibility theory context. The process of fusion consists of three steps : (1) information extraction, (2) information combination, and (3) decision step. Information provided by T2-weighted and PD-weighted images is extracted and modeled separately in each one using fuzzy logic, fuzzy maps obtained are combined with an operator which can managing the uncertainty and ambiguity in the images and the final segmented image is constructed in decision step. Some results are presented and discussed.

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