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This paper argues that the best effect to remove Gaussian noise is to use wiener filtering, and to remove salt & pepper noise to use median filtering will get a better effect. By using the correlation index, and through the original image adding noise and removing noise, it calculates the correlation index of the removal-noise image of the original image is better than traditional methods...
In this paper, we combine cell nerve network (CNN) and polynomial to processed radar image. Then analysis the image with polynomial fitting. We enlarge eight times of the key part of the radar image, and then detect the edge of the image. Dug some data as information. At last we find some regular to distinguish the cloud with hail or not. We find those are useful way for forecasting of hail.
In this paper, the edge detection cellular neural network (CNN) has been applied to preprocess ultrasound B-Scan images of Chronic Hepatitis B(CHB) patients' livers. The preprocessed images are further converted via the wavelet transform. The ratio of the standard deviation of the coefficients of diagonal detail to the standard deviation of the preprocessed image seems to correlate with the degrees...
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