MR imaging enhancement and segmentation of tumor using fuzzy curvelet
M. Arfan Jaffar · AFRICAN JOURNAL OF BUSINESS MANAGEMENT · 2011
Medical image segmentation is a very important issue in medical imaging. An automatic brain MR image segmentation method has been proposed for tumor detection in this paper. Discretize local window and wrapping based Curvelet transform has been used to remove rician noise. A modified fuzzy C-mean algorithm is used for segmentation of brain MR image. Proposed system has been tested on different datasets of MR Images. Proposed system performs well on all types of MR images including T1, T2 and PD brain MR images. Key words: Modified fuzzy C mean, wrapping based curvelet, brain magnetic resonance imaging segmentation.