1. Department of Computer Science and Engineering, Institute of Computer Technology (UVPCE), Ganpat University, Ahmadabad 380060, India 2. Information Technology Department, College of Engineering, Bharati Vidyapeeth deemed University, Pune 411043, India 3. Department of Computer Science and Engineering, University of Calcutta, Technology Campus, Kolkata 700098, India 4. Department of Convergence Security, SungshinWomen’s University, Seoul 136-742, Korea
This paper propose a computerized method of magnetic resonance imaging (MRI) of brain binarization for the uses of preprocessing of features extraction and brain abnormality identification. One of the main problems of MRI binarization is that many pixels of brain part cannot be correctly binarized due to extensive black background or large variation in contrast between background and foreground of MRI. We have proposed a binarization that uses mean, variance, standard deviation and entropy to determine a threshold value followed by a non-gamut enhancement which can overcome the binarization problem of brain component. The proposed binarization technique is extensively tested with a variety of MRI and generates good binarization with improved accuracy and reduced error. A comparison is carried out among the obtained outcome with this innovative method with respect to other well-known methods.
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