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Abstract:
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In this paper, a new method for image noise cancellation by designing the templates of cellular neural network (CNN) is introduced. The discrete-time cellular neural network (DTCNN) with uncertainties using clonal selection algorithm approach is employed to investigate the problem. Based on clonal selection algorithm, the templates of CNN are optimized to reduce noise interference in contaminated image e.g. Tainted medical computed tomography (CT). Some examples are provided to illustrate the effectiveness of the proposed methodology.
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