The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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, we provide a new way to process charcoal drawing with cell nerve network(CNN). Charcoal drawing is an important phase in art drawing. In this paper, we use the cellular neural networks to process charcoal drawing. we present a robustness design theorem for the optimal edge detector cellular neural network (OEDGE CNN). As applications, We can find some charcoal drawing effect with different...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.