EDGE PRESERVING IMAGE DENOSING TECHNIQUE BASED ON SOM NEURAL NETWORK MODEL

ANJALI KHARE, SHAHAB AHMED, L K VISHWAMITRA

Abstract


In this paper proposed a hybrid method for medical image denosing for improvement of CT and MRI image for brain stroke and brain tumor. The process of CT and MRI image gets the high component value of noise in environment. For the reduction of these noise used wavelet transform domain method. The wavelet transform method is well recognized method for noise reduction. In wavelet transform method the local noise component value are not considered. Then after the denosing process noise are still remain in CT and MRI image. For these low components value collection used multiple sequences. And finally used self-organized map network. The proposed method implanted in MATLAB 7.8.0 software. MATLAB is high end computational language for image processing. For the experiment process used five CT and MRI image with 512 × 512 resolution.


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References


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