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Superpixels and supervoxels play an important role in many computer vision applications, such as image segmentation, object recognition, and video analysis. In this paper, we propose a new hierarchical edge-weighted centroidal Voronoi tessellation (HEWCVT) method for generating superpixels/supervoxels in multiple scales. In this method, we model the problem as a multilevel clustering process: superpixels/supervoxels...
Customer is an important strategic resources for enterprise, only use effective customer management can promote the development of the enterprise. Customer classification management is the key to customer relationship management, and the key to effective customer classification is to select the appropriate classification index and effective classification method. In this paper, the customer classification...
Super pixels and super voxels play an important role in many computer vision applications, such as image segmentation, object recognition and video analysis. In this paper, we propose a hierarchical edge-weighted centroidal Voronoi tessellation (HEWCVT) method for generating superpixels/supervoxels in multiple scales. In this method we model the problem as a multilevel clustering process: superpixels/supervoxels...
This paper designs and realizes a bagged tablets checking system. First, according to tablet characteristics, color feature library and shape feature library are created. Second, the tablet image is clustered by K-means algorithm. And threshold segmentation for the tablet image use Ostu method. Finally, the recognition result of sorts of tablets in bag will compare with prescription in database written...
In order to improve detection efficiency of on-line web news stream, we propose a new method to accomplish detection task with window-adding, named entity recognition and suffix tree clustering. In our method, we make full use of informative elements of news stream(such as date, place, person and so on) to help detection process, and this method decreases text similarity computation greatly. Experimental...
Shape correspondence, which aims at accurately identifying corresponding landmarks from a given population of shape instances, is a very challenging step in constructing a statistical shape model such as the Point Distribution Model. The state-of-the-art methods such as MDL and SPHARM are primarily focused on closed-surface shape correspondence. In this paper we develop a novel method aimed at identifying...
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