A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field

Abstract

This paper proposes a MRI segmentation method combining fuzzy clustering and Markov random field. The method is tested in the noised image databases and comparison experiments, which shows that it is a precise and robust MRI segmentation method.