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图像的相关系数是衡量两幅图像的相关程度的，本代码直接通过选定区域计算出相关系数！-image correlation coefficient is a measure of two images of the code directly through selected regional correlation coefficient calculated!
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CCA的代码，将两张图片做典型相关分析，输入参数分别为：输入图像1，输入图像2，行，列，通道1，通道2，输出矩阵。,CCA' s code, two pictures to do canonical correlation analysis, input parameters are as follows: the input image 1, the input image 2, row, column, channel 1, channel 2, the output matrix.
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基于灰度的两幅图像配准算法，两个程序，可以实现相关系数和PFC算法-Based on Gray' s two image registration algorithm, the two procedures, the correlation coefficient can be achieved and the PFC algorithm
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采用基于灰度相关性对两幅图像进行配准，适用于图像间灰度变化不大的情况。-Based on gray-scale correlation of two image registration for gray-scale change between images is not the case.
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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
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简单的模板程序配准，匹配的效果基本上可以满足一般的要求。实用，简单。-two functions used to implement template matching. the program finds the template image inside the target image using correlation.
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ZNCC Normalized cross correlation
m = zncc(w1, w2)
Compute the zero-mean normalized cross-correlation between the two
equally sized image patches w1 and w2. Result is in the range -1 to 1, with
1 indicating identical pixel patterns.-ZN
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图像识别算法：二维典型相关分析在小样本图像识别上的应用！-Image recognition algorithm: two-dimensional canonical correlation analysis in image recognition on small sample application!
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求两幅多波段影像的相关系数，并且能实现影像的多波段读取-Seek more than two-band image of the correlation coefficient, and can realize multi-band image to read
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两个源文件进行最小冗余和最大相关特征选择，主要用于图像特征选择里面-Two source files and the maximum correlation minimum redundancy feature selection, which is mainly used for image feature selection
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Template Matching. Two functions used to implement template matching. The program finds the template image inside the target image using correlation.
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IDL开发的求取两幅图像相关系数的程序，用于影像融合质量评价-IDL to strike a developed procedures for the correlation coefficient of two images for image fusion quality evaluation
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图像点特征提取，图像相关系数法匹配。二维匹配，爬山法匹配-Image point feature extraction, image correlation coefficient matching. Two-dimensional matching, matching climbing method
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本程序的功能是根据两幅相邻图像的相关系数来进行影像的匹配-The program' s functionality is based on two adjacent images of the correlation coefficient for image matching
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Actual applications require specifi c methods to reduce the infl uence of the
correlation to distortions that appear when input images differ from their
reference model. When the distortion model can be described analytically
(such as
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灰度算法，计算二维数字图像相关系数最大值的方法。-Grayscale algorithm to calculate the maximum two-dimensional digital image correlation coefficient method.
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归一化互相关图像配准
有时一幅图像是另一幅图像的子图像，可以利用归一化互相关通过移动一幅图像来是两幅图像配准。-Normalized cross-correlation image registration Sometimes an image is another image of the sub-image, by moving an image using the normalized cross-correlation to two image registration.
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利用双线性插值对图像进行去马赛克处理，可以直接运行，得到处理后的图像-Two order correlation linear interpolation image mosaic
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求两幅图像相关性源码，经本人修改测试，绝对可用！-Seeking two image correlation source, I changed the testing, is absolutely available!
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图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的
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