H. Ramezanpour, Navid Barati, G. Darmani, Hosein Farrokhbakht
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Application of adaptive filters in noise reduction in mammography images
In this paper, we introduce an effective scheme for reducing noise level in mammography images by adaptive filters. The scheme proposed includes finding the best weight vector with least-mean-square (LMS) algorithm and then apply it to images. The effectiveness and less computational time required of the algorithm, are the main advantages which are not seen in mammography image enhancement literature together yet. Finally one example is brought to show the effectiveness of proposed scheme.
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