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. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain. Platform: |
Size: 67584 |
Author:Harry |
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Description: 很全的图像融合指标，综合熵、空间频率、互信息等等，一共7种！和两幅源图像！每个程序都测试过，效果很好，直接出结果-Are all indicators of image fusion, integrated entropy, spatial frequency, mutual information, etc., a total of 7! And the two source image! Each program is tested with good results, directly results from Platform: |
Size: 54272 |
Author:李希宁 |
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Description: 基于互信息的刚性配准医学图像配准技术是今年来医学图像处理领域中的重要研究问题，推崇寻找某种适当的空间变换，使两幅图达到空间位置上的定位和配准，进而进行图像融合。医学图像配准在临床诊断、治疗、质量保证和疗效评价等方面具有重要的应用价值。-Mutual information-based rigid registration of medical image registration technology to medical image processing field this year, an important research questions, praises to find a suitable space transformation, the two plans to locate on the spatial location and registration, then the image fusion. Medical image registration in the clinical diagnosis, treatment, quality assurance and efficacy evaluation has important applications. Platform: |
Size: 99328 |
Author:常成成 |
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Description: 图像融合指标，综合熵、空间频率、互信息等等，一共7种。在图像处理后的质量评价方面很有用-Fusion index, comprehensive entropy, spatial frequency, mutual information, etc., a total of 7 species. In the image processing is useful for quality assessment Platform: |
Size: 55296 |
Author:葛宏 |
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Description: 这是从网上整理出来的图像融合评价标准，总共有13项性能指标。包括平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。大家一起交流吧~-This is sorted out from the online image fusion evaluation criteria, there are a total of 13 performance indicators. Including the average gradient, edge strength, information entropy, gray are
Value, standard deviation (mean square error MSE), root mean square error, peak signal to noise ratio (psnr), spatial frequency (sf), image clarity, mutual information (mi), structure
Similarity (ssim), cross-entropy (cross entropy), the relative standard deviation. Exchange it with everyone ~ Platform: |
Size: 8192 |
Author:海洋 |
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Description: 图像融合中常用的评价指标（非常全面）如：平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。-Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio, root mean square error, spacefrequency, standard deviation, mean, distorting the degree of deviation index. Platform: |
Size: 9216 |
Author:杨哲辉 |
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Description: 实现基于四叉树分解的局部化互信息。参考文献：Image fusion performance metric based on mutual information and entropy driven quadtree decomposition-Compute the Image fusion performance metric based on mutual information and entropy driven quadtree decomposition. Platform: |
Size: 5120 |
Author:candy |
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Description: 进行图像融合效果评价的3个常用指标，分别为互信息，Petrovic and Xydeas Metric和quality index。-Image fusion effect evaluation of three commonly used indicators, respectively, for the mutual information Petrovic and Xydeas metrics and quality index. Platform: |
Size: 3072 |
Author:lijunwei |
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Description: 自己整理的图像融合的评价指标，包括信息熵，互信息，边缘相似度等-Organize their own evaluation of the image fusion, including information entropy, mutual information, the edge similarity Platform: |
Size: 484352 |
Author:张龙 |
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Description: 本程序集合了互信息配准，PV差值，powell算法，基于小波变换的图像融合的一整套算法。只需要在GUI界面输入两幅图像，即可自动完成图像的配准融合。程序包含Matlab源代码。用Matlab打开imagefusion.m，即会弹出gui界面。融合前要输入参考和浮动图像。图像要求像素的 长＊宽 一样。否则会报错。程序只能处理灰度图像，彩色图像也会转化成灰度图像处理。程序代码已经有详细的注释，方便读者理解。-The procedures set of mutual information, PV difference, powell algorithm, based on wavelet transform image fusion set of algorithms. Only need to enter the two images in the GUI interface, you can automatically complete the image registration fusion. Program contains Matlab source code. Using Matlab open imagefusion.m, gui interface will pop up. Fusion before the input reference and floating images. Image requires the same pixel length* width. Otherwise incorrect. Can only handle grayscale images, color images into gray image processing also. Program code has detailed notes, to facilitate understanding. Platform: |
Size: 1007616 |
Author:zhaoyuan |
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Description: 6自适应波段选择高光谱图像融合使用互信息。国际会议信息融合2005 _guo_fusion_a-6 Adaptive band selection for hyperspectral image fusion using mutual information . International Conference on Information Fusion 2005_guo_fusion_a Platform: |
Size: 413696 |
Author:fangfang |
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Description: 图像融合是数据融合的一个重要分支，它在遥感图像 处理、目标识别、医学、机器人视觉等方面具有广阔的应用 前景。将获取的对应同一场景的不同图像数据进行空问 匹配这个医学图像配准融合的详细程序-Image fusion is an important branch of data fusion, which in remote sensing image processing, object recognition, medical, robot vision and so has a broad application prospects. Corresponding to different images of the same scene data were acquired to match the spatial integration of medical image registration procedures detailed Platform: |
Size: 168960 |
Author:黄帅 |
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Description: 将两幅图像进行配准操作，可用于图像融合准备工作。使用互信息作为度量准则，改变步长、进行多次迭代。-The two image registration operation, can be used for image fusion preparations. Using mutual information criterion as a measure to change the step size, multiple iterations. Platform: |
Size: 1024 |
Author:Eva |
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Description: 计算互信息非常有用的一组程序,D-S证据理论数据融合，信号维数的估计。- Mutual information is useful to calculate a set of procedures, D-S evidence theory data fusion, Signal dimension estimates. Platform: |
Size: 5120 |
Author:yeinang |
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Description: 这是从网上整理出来的图像融合评价标准，总共有13项性能指标。包括平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。-This is sorted out the online image fusion uation criteria, there are a total of 13 performance indicators. Including the average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square error MSE), root mean square error, peak signal to noise ratio (psnr), spatial frequency (sf), image clarity, mutual information (mi), structure Similarity (ssim), cross-entropy (cross entropy), the relative standard deviation Platform: |
Size: 14336 |
Author:去额 |
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Description: 混沌的判断指标Lyapunov指数计算,用于特征降维，特征融合，相关分析等,计算互信息非常有用的一组程序。- Chaos indicator for Lyapunov index calculation, For feature reduction, feature fusion, correlation analysis, Mutual information is useful to calculate a set of procedures. Platform: |
Size: 6144 |
Author:suifiu |
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Description: 计算互信息非常有用的一组程序,用于特征降维，特征融合，相关分析等,本程序的性能已经达到较高水平。- Mutual information is useful to calculate a set of procedures, For feature reduction, feature fusion, correlation analysis, The performance of the program has reached a high level. Platform: |
Size: 8192 |
Author:秦龙峰 |
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Description: 计算图像的互信息，用于图像融合评价，图像配准指标(Calculate the mutual information of the image, for image fusion evaluation, image registration index) Platform: |
Size: 690176 |
Author:Sherry159
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Search - mutual information fusion