Description: 利用互信息法求得混沌时间序列相空间重构最优化时延的Matlab程序-use of mutual information obtained chaotic time series reconstruction phase space optimization procedures Matlab Delay Platform: |
Size: 16513 |
Author:胡维刚 |
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Description: 利用互信息法求得混沌时间序列相空间重构最优化时延的Matlab程序-use of mutual information obtained chaotic time series reconstruction phase space optimization procedures Matlab Delay Platform: |
Size: 16384 |
Author:胡维刚 |
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Description: 关于互信息图像配准方面的两篇权威的综述，对了解互信息配准方法有很大帮助，十分全面-On mutual information image registration aspects of two authoritative overview of the understanding of mutual information registration method are very helpful, very comprehensive Platform: |
Size: 1451008 |
Author:张旭 |
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Description: 在相空间重构中，用互信息法求最小关联嵌入维-In phase space reconstruction, the use of mutual information method associated minimum embedding dimension Platform: |
Size: 4096 |
Author:刘洋 |
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Description: DETECTION THRESHOLDING USING MUTUAL INFORMATION,
a novel non-parametric thresholding method that we term Mutual-Information
Thresholding. In our approach, we choose the two detection thresholds for two input signals such that the
mutual information between the thresholded signals is maximised. Two efficient algorithms implementing our
idea are presented: one using dynamic programming to fully explore the quantised search space and the other
method using the Simplex algorithm to perform gradient ascent to significantly speed up the search, under the
assumption of surface convexity Platform: |
Size: 3079168 |
Author:shn |
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Description: 研究了基于互信息测度的医学图像配准方法,提出了一种优化算法的改进。目的旨在于解决配准的精度和在基于互信息配准过程中的效率问题。提出的优化算法是将拟牛顿方法运用于多模医学图像配准中。实验结果说明这种改进的方法能有效提高配准的精度和效率问题,并得到好的实验效果。-Abstract: This paper presents a novel Optimized method for medical image registration, the purpose is to solve problems, which are the registration precision and huge calculation in medical images registration based on mutual information. We present a novel optimized method, called Quasi-Newton (BFGS algorithm), for multi-modal medical image registration. Experimental results show that the method, which develops precision of registration, can solve the problem of huge calculation, and achieve good effects. Platform: |
Size: 1452032 |
Author:vivi |
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Search - mutual_information