A New Fuzzy C Means for Brain Image Segmentation Using Anisotropic Diffused Regularization

Abstract

ABSTRACT Medical Imaging is the technique and a process used to create images of the human body for clinical or medical science. Magnetic Resonance (MR) Brain image segmentation plays an important role in neurosurgical planning and clinical diagnosis. MR image is segmented using Fuzzy C means (FCM) method, the objective function of FCM is modified by a regularizing function called Total Variation (TV)FCM. The proposed robust image regularization Anisotropic Diffusion Total Variation (ADTV) regularization method focuses on smoothing the images and reducing the steps by reinterpreting the traditional TV regularization. The method preserves the discontinuities and also continues to smooth along line like features in the MR images and the comparison of proposed scheme with classical TV demonstrates the performance improvement. The method shows the consistent improvement in the reconstruction of images. The method is combined with the FCM and the results of segmentation are improved

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