均值漂移迭代算法的一个新的停止准则
A new stopping criterion for the mean shift iterative algorithm
摘要：
均值漂移迭代算法是2006年提出的一种以熵为停止准则的迭代算法。从那时起，理论基础已经开发和一组应用已经进行了使用该算法。本文提出了一种新的均值漂移迭代算法的停止准则，其中停止阈值目前使用的熵，但在另一种方式。利用标准图像进行了大量的分割实验，实验结果表明，该算法能够达到较好的分割效果，并且具有较好的稳定性。通过一个定理分析了在新的停止准则下的收敛性。本文的目的是比较新的停止准则与旧的准则。出于这个原因，所获得的结果没有与其他分割方法进行比较，因为以前进行了旧的停止标准。
英文摘要：
The mean shift iterative algorithm was proposed in 2006, for using the entropy as a stopping criterion. From then on, a theoretical base has been developed and a group of applications has been carried out using this algorithm. This paper proposes a new stopping criterion for the mean shift iterative algorithm, where stopping threshold via entropy is used now, but in another way. Many segmentation experiments were carried out by utilizing standard images and it was verified that a better segmentation was reached, and that the algorithm had better stability. An analysis on the convergence, through a theorem, with the new stopping criterion was carried out. The goal of this paper is to compare the new stopping criterion with the old criterion. For this reason, the obtained results were not compared with other segmentation approaches, since with the old stopping criterion were previously carried out.
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