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.
Under foggy weather conditions, the contrast of outdoor scene images is often drastically degraded. In this paper, we address the question of restoring the contrast of outdoor scene images from just one degraded image. A simple modified model was derived firstly based on atmospheric scattering models, which describes the mechanism that the apparent contrast of scenes degrades under foggy conditions,...
A new edge detection algorithm by combining multiscale wavelet technique and genetic fuzzy clustering algoithm is proposed in this paper (called WGFCA), which can realize edge detection of input image automatically. Based on the theory that signals and noise have different characters along wavelet decomposition scales, WGFCA firstly multiply the wavelet coefficient of input image at adjacent scales...
This paper presents a novel edge detection method based on multiscale wavelet features and genetic fuzzy clustering algorithm (Yunying Dong et al., 2005), which can perform image edge detection in an automatic way. Firstly, an effective feature extraction algorithm using wavelet transform is proposed to extract classification features, thus the feature vector for each pixel is gained, which contains...
This paper presents a novel method for edge detection based on multiscale wavelet features and fuzzy c-means clustering. Firstly, an effective feature extraction algorithm using multiscale wavelet transform was proposed to extract classification features, thus the feature vector for each pixel was gained, which contained the gradient information in various directions; and then, these vectors were...
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.