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The problem of hot bursty topic detection in user generated texts deserves great attentions with the proliferation of Internet technologies. However, traditional document clustering and probabilistic topic models that were developed for formal news articles are less effective for informal user-generated corpora. In this paper, we provide a graph-based perspective that well reflects the latent pattern...
Rooftop edge line extraction is essential for building recognition and extraction in aerial images. In this paper, a new integrated edge line extraction algorithm is proposed for aerial imagery which often contains many buildings of complex shapes, and much more noise. Firstly, an improved marker-controlled watershed algorithm is applied to the aerial imagery segmentation, incorporated with altitude...
At present, there are two main types for medical CT image surface reconstruction: one is way of the slice contour, the other is voxel reconstruction, the former method is simple, easy for calculation and much classical computer graphics techniques can be used, the latter is related to complex computing. In this paper, image contours are extracted by active contour model, simplified by DP algorithm...
Most unsupervised methods in boundary detection fail to manage the small veins with strong contrast in brightness. Aiming at this, the paper presents a novel method in boundary detection, which is based on two parts. The first part is combination of LBP (local binary pattern) and maximum difference criterion of texture to get a clear salient-boundary-point image, using local texture cues to cut down...
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