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.
According to the different characteristics between Infrared (IR) and visible image, an improved image fusion algorithm is proposed in this paper by using Nonsubsampled Contourlet (NSCT) transform, combined with local energy and fuzzy logic. Firstly, an S-function is used to adaptively enhance the contrast of the IR image. Secondly, the IR and visible images are decomposed into a series of low frequency...
Medical image fusion of computer tomography (CT) and magnetic resonance imaging (MRI) is to obtain more information from the CT and MRI respectively. In this paper, we present a wavelet-based texture fusion of CT/MRI images. Wavelet transform is employed to extract energy and regional information entropy of texture features from images. In the process of fusion, we adopt the fusion rule of energy...
Visual target classification is one of the most important issues addressed in wireless multimedia sensor network (WMSN). This paper proposes a hybrid Gaussian process based classification method to implement binary visual classification (human/nonhuman) in WMSN. Because the computation ability of sensor node in WMSN is strictly limited, target classification is achieved by Gaussian process classifier...
A novel small target detection method based on 2-D Generalized S-transform is proposed in this paper. A four dimensional array was obtained after the 2-D Generalized S-transform of an image and the energy sum of nonzero frequency components in the S-transform domain can be computed. Comparing the energy sum of nonzero frequency components with a predefined threshold at each point, the position of...
Rotating machinery anomaly detection is of paramount significance for industries to prevent catastrophic breakdown and improve productivity and personnel safety. The kernel classifier support vector machine (SVM) has shown excellent performance towards this purpose, but it is difficult to optimize relevant hyper-parameters. In this paper, we propose a new anomaly detection approach by merging Gaussian...
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.