Description: 电子文档，基于互信息的图像配准，配准的文献为局部互信息，还有香农信息论文献-Electronic documents, based on mutual information image registration, registration of documents for the partial mutual information, as well as the Shannon information theory literature Platform: |
Size: 524288 |
Author:weajan |
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Description: 用互信息作为两幅图像的相似性度量进行配准-Using mutual information as the two images of the similarity measure for registration Platform: |
Size: 3072 |
Author:孙艳丽 |
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Description: 互信息和小波共同使用的文章，对于互信息可以后更新的理解-Mutual information and wavelet joint use of the article, for mutual information can be updated after understanding Platform: |
Size: 268288 |
Author:张楠 |
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Description: 国外高校关于互信息的程序，希望对大家有所帮助。多支持这类研究-Colleges and universities abroad on the mutual information procedure, we hope to be helpful. More support for such research Platform: |
Size: 40960 |
Author:张楠 |
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Description: 图象配准文件,是基于互信息算法的,和大家一起分享.-Image registration documents, is based on the mutual information algorithm, and the U.S. share. Platform: |
Size: 949248 |
Author:withitren |
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Description: 对于刚体变换的，互信息相似标准，进行；两幅图象的配准。-For a rigid body transformation, similar to mutual information standards two image registration. Platform: |
Size: 43008 |
Author:Gary |
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Description: 图像配准实例源代码，来源于《Visual C++数字图像处理典型算法及实现》，编译通过。-Image registration example source code, from the Visual C++ Typical digital image processing algorithm and realize , compiled through. Platform: |
Size: 145408 |
Author:卓 |
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Description: 图像配准方法
采用互信息
主要看你怎么用了
是个优秀的库-Image registration method using mutual information mainly to see how you spent a good library Platform: |
Size: 70656 |
Author:啊 |
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Description: 利用有限数据估计其互信息，对学习信息论的很有帮助-Use of the limited data to estimate the mutual information, helpful for learning Information Theory Platform: |
Size: 1498112 |
Author:maming |
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Description: 贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion Platform: |
Size: 282624 |
Author:Leo |
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Description: 用matlab编写的基于轮廓最大互信息图像配准算法-Prepared using matlab contour based on the maximum mutual information image registration algorithm Platform: |
Size: 456704 |
Author:wangdenuan |
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Description: 计算两幅图像的互信息和联合直方图，适于图像处理初学者，-Calculation of two images of the mutual information and joint histogram, image processing is suitable for beginners, Platform: |
Size: 1024 |
Author:zhangji |
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Description: 非刚性图像配准算例，包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。
非刚性配准是当前应用最多的配准方法，用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimization, 3D affine registration algorithm, etc.. Non-rigid registration is currently the most widely used registration methods used to deal with a greater displacement of registration problems Platform: |
Size: 245760 |
Author:zhangji |
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Description: 图像配准，利用互信息进行图像配准，主要针对旋转和平移-Image registration using mutual information for image registration, the main response to rotation and translation Platform: |
Size: 75776 |
Author:hfy |
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Description: 利用互信息法求延迟，可用于求解信号的相空间-The use of mutual information method delayed, can be used to solve the signal phase space Platform: |
Size: 2048 |
Author:王 |
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Description: 对图像进行计算互信息，从而进行影像匹配。互信息非常适合多源遥感影像的匹配，改算法非常适用-The image calculated mutual information, thus to image matching. Mutual information is ideal for multi-source remote sensing image matching algorithm is very applicable to Platform: |
Size: 19456 |
Author:李洁园 |
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