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Spectral clustering employs spectral-graph structure of a similarity matrix to partition data into disjoint meaningful groups, because of its well-defined mathematical framework, good performance and simplicity, spectral clustering has gained considerable attentions in the recent past. Despite these virtues, it suffers from several drawbacks, such as it is unable to determine a reasonable cluster...
Due to the fact that most two-dimensional fabric of coarse-grained soil models are not accurate, the three-dimensional model is needed. An algorithm based on the improved ray casting volume rendering is proposed for reconstructing the three-dimensional model of the fabric of coarse-grained soil. This method improves the algorithm by making adaptive threshold segmentation preprocessing of the original...
As a crucial procedure in which images are divided into distinct non-overlapping regions and the interested objects are extracted in the process of image analyzing and image recognizing, image segmentation plays a considerable role in extracting medical lesions, measuring specific tissues, and realizing three-dimensional reconstruction. In this paper, integrated with the studies of dental micro-CT...
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