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As one of the most popular image oversegmentations, superpixel has been commonly used as supporting regions for primitives to reduce computations in various computer vision tasks. In this paper, we propose a novel superpixel segmentation approach based on a distance function that is designed to balance among boundary adherence, intensity homogeneity, and compactness (COM) characteristics of the resulting...
A hybrid constrained semi-supervised clustering algorithm(HCC) is proposed, both labeled data and pairwise constraints are concerned in clustering a given dataset to get a better clustering result. This paper gives theoretical derivation and experiments on UCI data sets, and the experiments show that the quality of clustering using two kinds of constraint information is better than only one kind of...
A new method for volume visualization of CT images is presented. The new method uses the information that the given set of CT images is taken from an original volumetric function. The new method first computes the fitting points of the original function with data mining technique, then the fitting points are used to construct 3D model by MC algorithm. The constructed 3D model by the new method has...
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