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An optimized relaying method for multi-antennas cooperative networks, estimate-and-forward (EF) strategy for MIMO relay, is proposed and analyzed in this paper. According to our theoretical analysis, it performs like amplify-and-forward (AF) for the low signal noise ratio (SNR) region and behaves like detect-and-forward (DF) for the high SNR region. For the relay networks with a large number of antennas...
We propose a region-based segmentation method based on local statistics. The adaptive spatial locality is defined using the Intersection of Confidence Intervals (ICI) approach. This pixel dependent local scale is estimated, conditionally on the current segmentation, in the sense of minimizing the mean-square error of a Local Polynomials Approximation (LPA). In other words, the scale is ‘optimal’ since...
Statistics of lightning parameters is the key to lightning protection of transmission line. Line corridor grid method (LCGM) is a relatively precise method to calculate lightning parameters along the transmission line, however, this method must base on the original lightning location data, which seriously confines the application of this method on lightning shielding performance estimation of transmission...
Various 3D applications require accurate and smooth depth map, and post-processing is necessary for depth map directly generated by different correspondence algorithms. A hierarchical joint bilateral filtering method is proposed to improve the coarse depth map. By first carrying out depth confidence measuring, pixels are put into different categories according to their matching confidence. Then the...
In clustering methods, the estimation of the optimal number of clusters is significant for subsequent analysis. As a simple clustering method, the fuzzy c-means algorithm (FCM) has been widely discussed and applied in pattern recognition and machine learning. However, the FCM could not guarantee unique clustering result because initial cluster number is chosen randomly. As the number of clusters is...
A framework for a new type of estimation of distribution algorithms (EDAs) is developed. It is similar to the Bayesian optimization algorithm (BOA) except that it replaces Bayesian network model with estimation of schema distribution based on maximum entropy. As structure learning of Bayesian network is not needed, it reduces the computational cost. The experimental results show that the new algorithms...
Color and texture have been widely used in image segmentation; however, their performance is often hindered by scene ambiguities, overlapping objects, or missing parts. In this paper, we propose an interactive image segmentation approach with shape prior models within a Bayesian framework. Interactive features, through mouse strokes, reduce ambiguities, and the incorporation of shape priors enhances...
In this paper, it is presented that a markerless registration method, for an augmented reality system, is based on minimizing the sum of squared difference (SSD) between the stored image of patch previously and the current one in real time. In the proposed algorithm, the correspondences between frames are obtained in the process of fixed region tracking and the homograph of the region can be computed...
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