Description: 采用共信息(mutual information)实现了图像对齐的功能（image registration）。这在数据融合，图像处理里是很重要的。-adopt information (mutual information) to achieve alignment of the image features (i MAGE registration). This data integration, image processing, was very important. Platform: |
Size: 186368 |
Author:sea |
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Description: 基于互信息的图像相似性测量。Image similarity using mutual information of regions .pdf-Based on mutual information image similarity measurement. Image similarity using mutual information of regions. Pdf Platform: |
Size: 164864 |
Author:mountainspring |
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Description: 使用互信息进行2D图像自动配准源代码,应用平均互信息-The use of mutual information for automatic registration 2D image source code, the application of the average mutual information Platform: |
Size: 231424 |
Author:fh |
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Description: 这个压缩包含有跨平台的、独立的程序源码，包含了互信息的计算等等有用的源码。-This compression has included cross-platform, independent source of procedures, including the calculation of mutual information and so on useful source. Platform: |
Size: 304128 |
Author:黄路遥 |
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Description: The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented. Platform: |
Size: 98304 |
Author:Harry |
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Description: 计算给定矩阵的互信息，这时的相关性是利用互信息来判断，矩阵的形式为邻接矩阵-compute the mutual information of the given matrix such as the matrix the elements in it are 0 or 1. Platform: |
Size: 140288 |
Author:苏延森 |
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Description: Joaquin Goñ i <jgoni@unav.es> &
Iñ igo Martincorena <imartincore@alumni.unav.es>
University of Navarra - Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
December 13th, 2007. Information Theory Toolbox v1.0
The Toolbox includes:
-entropy
-conditional entropy
-mutual information
-redundancy
-symmetric uncertainty
-Kullback-Leibler divergence
-Jensen-Shannon divergence
type help for each command to get a detailed description
Citation:
If you use them for your academic research work,please kindly cite this
toolbox as:
Joaquin Goñ i, Iñ igo Martincorena. Information Theory Toolbox v1.0.
University of Navarra - Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
-Joaquin Goñ i <jgoni@unav.es> &
Iñ igo Martincorena <imartincore@alumni.unav.es>
University of Navarra- Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
December 13th, 2007. Information Theory Toolbox v1.0
The Toolbox includes:
-entropy
-conditional entropy
-mutual information
-redundancy
-symmetric uncertainty
-Kullback-Leibler divergence
-Jensen-Shannon divergence
type help for each command to get a detailed description
Citation:
If you use them for your academic research work,please kindly cite this
toolbox as:
Joaquin Goñ i, Iñ igo Martincorena. Information Theory Toolbox v1.0.
University of Navarra- Dpt. of Physics and Applied Mathematics &
Centre for Applied Medical Research. Pamplona (Spain).
Platform: |
Size: 16384 |
Author:le thanh tan |
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Description: 计算两组信号互信息熵值的算法，采用matlab编程，可直接调用函数-Two sets of signals calculated values of mutual information method, using matlab programming, call the function directly Platform: |
Size: 1024 |
Author:罗慧 |
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Description: lena图像互信息求取，包括各个颜色值之间的互信息求取，运行通过！-lena image to strike a mutual information, including all the mutual information between the color values to strike, to run through! Platform: |
Size: 7168 |
Author:张超 |
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Search - Mutual Information mutual