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A novel method for anomaly detection in hyperspectral images is proposed. The method is based on two ideas. First, compared with the surrounding background, objects with anomalies usually appear with small areas and distinct spectral signatures. Second, for both the background and the objects with anomalies, pixels in the same class are usually highly correlated in the spatial domain. In this paper,...
This paper describes an efficient image matting method by combining color and depth information. First, the depth image is segmented by variational level set. Then morphological operators, dilation and erosion, are used to form trimap of ROI (Region of Interest). Finally, with preprocessed depth image, color image and trimap as inputs, an RGB-D Bayesian matting method is proposed to estimate the alpha...
Vascular diseases are major public heath problem around the world. Vessel segmentation has been widely concerned because it is a key step for diagnosis and surgical planning. Among past strategies, multi-scale line filters are very popular detectors. However, multi-scale integration results in undesirable diffusion when two vessels are closely located. To avoid this problem, we use gradient vector...
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