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The Mumford-Shah energy functional is a successful image segmentation model. It is a non-convex variational problem and lacks of good initialization techniques so far. In this paper, motivated by the fact that image histogram is a combination of several Gaussian distributions, and their centers can be considered as approximations of cluster centers, we introduce a histogram-based initialization method to compute the cluster centers. With this technique, we then devise an effective multi-region Mumford-Shah image segmentation method, and adopt the recent proximal alternating minimization method to solve the minimization problem. Experiments indicate that our histogram initialization method is more robust than existing methods,and our segmentation method is very effective for both gray and color images. 相似文献
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从股民素质的角度,利用博弈理论分析证监会、上市公司、股民之间的关系,得出股民素质的高低极大地制约了中国证券市场的健康发展的结论。提出在完善制度建设的同时,还应不断提高广大股民,特别是普通股民的素质。 相似文献
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