Abstract
This paper proposes a fuzzy theory based Magnetic resonance imaging (MRI) segmentation model. MRI is an imaging technique used in radiology to form pictures of the anatomy and the physiological processes. However, it is very difficult to carry out the MRI image segmentation. In order to address these difficulties, this paper proposes a fuzzy theory based MRI segmentation approach. The boundary is defined by the fuzzy theory so that different cluster with image gray could be clearly identified. Based on the identification, iterations could be conducted to optimize the objective function which is used for measuring the cluster center of the images. Experiments are carried out to validate the proposed approach.
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