Based on Cellular Neural Network with fisher discriminant method of hail forecast

Using Cellular Neural Network edge detection to the image of hail and non hail get the features of extraction edge of the image, get the main feature of image. Two-dimensional wavelet transform for edge detection, get the four discriminant features of each image; With feature data analysis the difference of hail and non hail image; Using the Fisher discriminant method to construct the discriminant model, Select the xinjiang region of radar chart analysis. Results show that the method used in this article can be a clear distinguish hail and non hail, and the discriminant error is small, with good results.