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A validation framework for MR image segmentation is proposed in this paper. It includes three stages: intensity inhomogeneity (IIH) correction, noise suppression without blurring structures and tissue classification. Based on MR brain images, in the first stage, an improved process is used to implement IIH correction. Subsequently, a new enhancement method on moments for noise removal and edge sharpening...
Medical image segmentation is a challenging problem. In this paper, a new automatic approach for MR brain image segmentation is presented. It is based on properties of Gauss-Hermite moments (GHMs) and fuzzy c-means (FCM).First, GHMs filter and GHMs detection are introduced and applied to image in preprocessing stage. FCM then performs to segment white matter (WM) and gray matter (GM). Subsequently,...
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