Medical Image Noise Reduction Using Cellular Neural Networks

In this paper, a novel method for designing templates of cellular neural networks to reduce the image noise is discussed. The discrete-time cellular neural network (DTCNN) combining with genetic algorithm (GA) is applied to image noise reducing. Based on GA method, the templates of CNN are optimized to diminish noise interference in polluted image. The demonstrated examples are presented to illustrate the better performance of the proposed methodology (GA-CNN).