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Multiphase level set model is sensitive to initial contour curve and has huge computation in the process of the multiple objects' segmentation. This paper presents a novel Image segmentation method for multiphase scenario, which initialize the multiphase level set function by coarse image segmentation using fuzzy C-means clustering algorithm and apply graph cut algorithm to acquire multiphase output...
Image segmentation is one of the hot fields of computer vision. In this paper, we propose a novel Markov random fields image segmentation algorithm. According to Gibbs distribution and MRF equivalence, image segmentation problem is transformed to minimize the posterior energy function corresponding to the labeling problem. The energy function can be efficiently minimized using the expansion move algorithm...
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