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Communities play an important role in the field of graph structure, especially in domains of networks analysis. A community (also referred to as a cluster) is a dense subgraph of the whole graph with more links between its members than between its members to the outside nodes. Communities overlap when nodes in graph belongs to multiple communities. Overlapping community detection is developing in...
Multiplicative noise (also known as speckle) reduction is a prerequisite for many image-processing tasks in coherent imaging systems, such as the synthetic aperture radar. One approach extensively used in this area is based on total variation (TV) regularization, which can recover significantly sharp edges of an image, but suffers from the staircase-like artifacts. In order to overcome the undesirable...
A new approach of concentric circle detection is proposed in this paper. Firstly, the image is preprocessed by denosing, edge detection, and then the circle centers are allocated by the gradient Hough transform, at last, the radius are detected by the improved one-dimensional Hough transform. The detection efficiency is enhanced by image discretization and reduced resolution ratio in the process of...
The integral image is typically used for fast integrating a function over a rectangular region in an image. We propose a method that extends the integral image to do fast integration over the interior of any polygon that is not necessarily rectilinear. The integration time of the method is fast, independent of the image resolution, and only linear to the polygon's number of vertices. We apply the...
The active contours model (ACM) is an active researching area in medical image segmentation. In traditional ACM model, boundary of region of interest (ROI) can be obtained by deforming the spline curve. But the segmentation relies on the initial location of the curve which is apt to be converged to the local gradient maximum region. Moreover, the model cannot segment the concave region accurately...
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