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: |
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Author:wangdenuan |
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Description: 基于最大互信息的图像配准算法源程序
用matlab编写的-Based on the maximum mutual information image registration algorithm using matlab source prepared Platform: |
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Author:wangdenuan |
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Description: 关于医学图像配准的一篇论文，轮廓特征点、最大互信息、多模态-Medical Image Registration on a paper, the outline of the characteristics of points, maximum mutual information, multi-modal Platform: |
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Author:青 |
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Description: mRMR_0.9_compiled最小冗余和最大相关特征选取源代码，-This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method, whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent publications. This version uses mutual information as a proxy for computing relevance and redundancy among variables (features). Other variations such as using correlation or F-test or distances can be easily implemented within this framework, too.
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Author:韩华 |
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Description: 基于最大互信息的图像配准算法源程序。
matlab编写。-Maximum mutual information based on the source image registration algorithm. the preparation of matlab. Platform: |
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Description: 基于互信息理论的最大相关排序算法，可应用于各领域的特征选择。-Maximum mutual information based relevance ranking algorithm theory can be applied to all areas of feature selection. Platform: |
Size: 3072 |
Author:crossrainbow8696 |
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Description: AAA基于最大特征点对互信息量的一种新的算法研究，理论分析和实验结果表明,该算法对图像间的旋转角度没有限制,
配准精度高而且计算量较小.
-AAA feature points based on the maximum mutual information of a new algorithm, theoretical analysis and experimental results show that the algorithm for image rotation between no limit registration accuracy and less computation. Platform: |
Size: 259072 |
Author:杨博明 |
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Description: 根据图像数字水印基本原理和水印信道的构造及生成方式，从信息论的角度，对基于高斯噪声信道的数字水印容量进行探索。针对高斯信源分布具有最大的不确定性、能够在所有的二阶随机分布中提供最大信息熵的特点，分析在高斯分布情况下的整个水印信道通信过程，并引入平均互信息理论，给出基于高斯的水印信道容量的最大通信速率。同时分析加性噪声信道下的容量问题，将高斯分布扩展到非高斯分布，优化容量计算表达式，利用Matlab软件工具给出非高斯信源水印容量与受限失真度的2D和3D关系仿真曲线，并结合实际给出结果分析。-】Based on the digital watermark and information theory, a rudimental research for the Gaussian watermark capacity is given. Considering that Gaussian distribution has the maximum uncertainty with the maximum entropy among all given second-order distributions, this paper focuses on the watermark communication process with Gaussian channel, and uses the average mutual information to analyze the communication capacity. Also the additive noise channel is introduced to expand the non-Gaussian case. The formula of maximum transmission rate for Gaussian watermark channels is given and simplified, and the 2D and 3D curves for the relationship between the distortion and channel capacity by Matlab are illustrated. It analyses the results at different distortions in two different usages of watermark. Platform: |
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Author:li |
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Description: 基于最大互信息的图像优化拼接算法文献，希望对大家有帮助-Maximum mutual information based image stitching algorithm optimization literature, we want to help Platform: |
Size: 399360 |
Author:guiyangyang |
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Description: 基于最大互信息和量子粒子群优化算法的医学图像配准研究-Based on maximum mutual information and quantum particle swarm optimization algorithm for medical image registration Platform: |
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Author:guiyangyang |
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Description: 红外和可见光的匹配跟踪在军事、遥感等领域有着广泛的应用。针对灰度和图像特征存在比较大差异的红外和可见光图像，本文采用了最大互信息算法，结合形态学梯度和小波分解。互信息算法优点在于不需要对多模图像灰度间的关系做任何假设，不足之处在于它对图像空间信息的忽略而且计算时间较长。本文互信息结合多结构元的形态学梯度检测的图像边缘，可以使得图像匹配精度提高，还能改善局部极值的问题，再利用小波分解对图像进行压缩降低分辨率，可以减少互信息计算量。最后的实验数据表明在配准过程中互信息的计算速度得到了优化，匹配精度得到了提高，实现快速和精确匹配。- Infrared and visible light matching tracking has wide application in military, remote sensing and other fields. There is a relatively large difference for grayscale image features infrared and visible light images, this article uses the maximum mutual information algorithm, combined with morphological gradient and wavelet decomposition. Mutual information algorithm the advantage not need to make any assumptions about the relationship between the multi-mode image gray inadequacies that its image spatial information is ignored and the computation time is longer. This paper mutual information combined with the multi-structural element morphological gradient image edge detection, can make the image matching accuracy is improved, but also to improve the problem of local minima, and then take advantage of the wavelet decomposition to reduce the resolution of the image is compressed, can reduce the amount of mutual information calculated . Finally, the experimental data show that the mutual Platform: |
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Author:simon lee |
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Description: 针对基于最大互信息图像配 准的不足 研究 了基于 H a r r ls角点算子的多模态医学图像配准。在计算互信 息的时候,采用部分体积插值法计算联合灰度直方 图-Based on the maximum mutual information for image registration based on the lack of H arr ls corner operator multimodal medical image registration. In calculating the mutual information when the partial volume interpolation method using joint histogram Platform: |
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Author:高嘉瑜 |
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Description: Outage probability is a crude measure of performance. It is defined as the probability when mutual information is less than the given threshold.
The importance of outage probability is that when outage occurs, there is more likely to have decoding failure. In other words, it is a typical error.
In fading channels, the received signal has no constant power which be depending on the channel, can be described by probability models. Thus, signal to noise ratio will also becomes a random variable. and Thus the maximum capacity of the channel becomes a random variable. Outage probability says according to the variable signal to noise ratio at the received end, what is the probability that a rate is not supported due to variable signal to noise raito. Platform: |
Size: 1024 |
Author:Manzar Hussain |
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Description: 使用matlab开发环境，进行最大互信息图像配准（其中含界面多种算法的程序）-Use matlab development environment, the maximum mutual information image registration (which contain multiple algorithms program interface) Platform: |
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Author:梁宇 |
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Description: 提出一种算法来检测无源毫米波（PMMW）动态scenes.This算法的图像移动目标融入了背景注册，并为detection.Experiments 的结果帧差法最大互信息登记方法证明其有效性。-An algorithm is presented to detect moving targets in Passive Millimeter Wave(PMMW) images with dynamic scenes.This algorithm incorporates the maximum mutual information registration method for background registration,and frame difference method for detection.Experiments results demonstrate its effectiveness. Platform: |
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Author:蒋胜 |
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Description: 主同步信号PSS在时域上的相关仿真，最大似然（ML）准则和最大后验概率（MAP）准则，计算互信息非常有用的一组程序。- PSS primary synchronization signal in the time domain simulation related, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Mutual information is useful to calculate a set of procedures. Platform: |
Size: 4096 |
Author:杜兴利 |
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Search - maximum Mutual Information