Three Models based Fusion Approach in the Fuzzy Logic Context for the Segmentation of MR Images : A Study and an Evaluation

In this work we present a study and an evaluation of three models based fusion approach in the fuzzy logic context for the segmentation of MR images. The process of fusion consists of three parts : (1) information extraction, (2) information combination, and (3) decision step. Information provided by T1-weighted,T2-weighted and PD-weighted images is extracted and modeled separately in each one using FPCM (Fuzzy Possibilistic C-Means) algorithm, fuzzy maps obtained are combined with an operator of fusion 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.