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 will discuss and present a novel digital image hiding technique based on fusion stratagem. It satisfies the requirement of ??what we saw is not what we get??. This novel approach to hiding a secret image into the public image using simple Be??zier curve is proposed on the base of fusion stratagem whose purpose is to hide this secret image. We derive a camouflage image in a fusion...
We consider characterization of building interior structure from two-pass interferometric circular synthetic aperture radar data. We model returns from complex building structures as the sum of the responses from scattering primitives-plates, dihedrals, and trihedrals-observed through transfer functions that characterize both the transmission through and reflection from dielectric surfaces. Maximum-likelihood...
Image segmentation plays an important role in computer vision and image analysis. In this paper, the segmentation problem is formulated as a labeling problem under a probability maximization framework. To estimate the label configuration, an iterative optimization scheme is proposed to alternately carry out the maximum a posteriori (MAP) estimation and the maximum-likelihood (ML) estimation. The MAP...
This paper presents an in-depth study of classification of transients in power systems using two pattern classification methods, namely the maximum-likelihood, and the probabilistic neural networks. These methods, which stem from the Bayes rule, aim at estimating the underlying probability density functions that are required by the Bayes rule, but are often unavailable readily. The paper presents...
Image clustering can be viewed as a segmentation problem in which small image patches are grouped together based on their features. Rock texture segmentation is a challenging task since the texture is often nonhomogeneous. In this contribution, the new EM (expectation-maximization) rock textures segmentation framework EMRT is proposed. EMRT has two phases, in the first phase the image is divided into...
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.