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.
The signal sparse representation is one of the key elements of CS theory. This article covers construction of sparse basis matrix according to the form of radar signal,the sparse transform for radar echo signal, imagination according to the algorithm of CS reconstruction, showing the effectiveness of the compressed sensing imaging method by simulation results.
In this paper, we propose a new algorithm to preprocess an IR image sequence for the detection of a small target which is undistinguishable because it is dim and embedded in strong clutter. This algorithm integrates the background suppression based on wavelet transform and the improved frame difference to enhance the target intensity, suppress the cluster, and improve the SNR. Experimental results...
This article realized a method applying Haar features to train Adaboost classifier, and combined skin and lip color separation algorithm to form a self-adaptive skin and lip color separation model, which can dynamically adjust constant parameters of skin and lip separation algorithm based on the result of applying Haar features to train Adaboost classifier. The model can dynamically acquire distribution...
This article proposes a method to identify fractures in human X-ray photos. According to the characteristics of X-ray image, the high-order statistical moments adopted to verify segmentation have been combined with partial threshold method to segment bone image. After the segmentation, mathematical morphology will be applied to extract the target border and cover the boundary of fractures. By superposing...
Based on the complexity and randomness of the infrared image degradation factors, and integrates the strong de-noising features of multi-scale morphological wavelet and the salient problem solving features of Hopfield neural network in optimization, this paper presents a new algorithm for infrared degraded image restoration. The algorithm takes advantage of the continuous recycle between "multi-scale...
Infrared image enhancement is a research focus as well as one of the difficulties in the field of information processing. Rough sets theory is a new mathematical tool to solve the issue of ambiguity and uncertainty. Curvelet transform develops from wavelet transform and has noticeable effect in denoising and signal enhancing. Based on the features of infrared image and human visual properties and...
As the dynamic range of the targets in X-ray images of feet is wide, and the overlapping interval of the background gray value and the target is large, this article comes up with a bone-image segmentation method in X-ray pictures of feet. First of all, composite enhancement will be applied, then the distribution features of target will be exploited to carry out a dynamic partition, finally density...
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.