搜索资源列表
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mathlab的三个分别灰色绝对关联度，相对关联度，归一关联度的代码，是三份M文件-mathlab absolute correlation of the three were gray, relative correlation, normalized correlation of the code, the file is three M
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数字图像处理方面的，实现图像匹配的基本算法（相关系数法）,NCC(normalized cross correlation
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归一化互相关高速计算模块OpenCV工程,Daniel Eaton已将其生成Matlat Mex文件,比Matlab内建的normxcorr2()效率要高-Normalized cross-correlation of high-speed calculation module, Daniel Eaton have been wrapped the C++ code from OpenCV project and making it available as a MATLAB MEX-file,
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Normalized Cross Correlation (NCC) algorithm is robust, but it has poor real-time performance
due to its large amount of computation.
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Implement in C, the Harris corner detector and the normalized cross correlation (NCC).
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The normalized cross correlation (NCC) implemented in C++ and Matlab
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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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matlab 归一化相关系数，可用于模板匹配-matlab normalized correlation coefficient
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MATLAB语言的归一化相关匹配算法Normalized correlation algorithm-MATLAB language Normalized Correlation Matching Algorithm Normalized correlation algorithm
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归一算法用在灰色关联度的计算，可以计算出权重，然后进行关联度计算。-Normalized correlation algorithm is used in the calculation of the gray, you can calculate the weights and then calculated correlation.
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Matlab and c code to compute fast normalized correlation coefficient.
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Normalized cross-correlation function, contains all of the right to cross-correlation function, can easily use it
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归一化相关算法
归一化
图形图像处理-Normalized correlation algorithm normalized Graphics and Image Processing
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针对星载的干涉型成像光谱仪提出了一种基于归一化互相关系数的光谱数据立方体重建质量的量化评价
方法 ,并以工程化的要求作为仿真背景条件 ,建立了一个通用仿真系统。通过仿真 ,证实了基于归一化互相关系数的成
像光谱仪数据立方体重建质量量化评价方法是可行的。-According to the demands of processing imaging interferometer data cubes , which come f rom the remote satel2
lites ,
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本程序展示了二维归一化互相关用于
模式匹配和目标跟踪。该程序提示用户选择感兴趣的（ROI）的区域和对同类目标进行跟踪的数目。归一化交叉相关图表明，当值已超过设定的阈值时目标就已经确定。-This demo illustrates the use of 2-D normalized cross-correlation for
pattern matching and target tracking. The demo prompts the user to select
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基于小波变换的多分辨匹配算法:
首先利用小波的多分辩率特性将匹配图像和模板图像分解到乙层上，并且只保留LL低频部分，然后利用归一化相关法作为相似性度量，进行由粗到细的相关匹配过程，每次利用下一层的匹配结果在上层小范围内搜索。这样做极大地减少了搜索空间，而且减少了每次匹配计算相似度的数据量。
-Wavelet multiresolution matching algorithms: a wavelet multi-resolution feature will match the imag
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基于灰度的归一化匹配算法：将原图以及匹配图灰度化，算出相关系数后得到匹配区域。-Based on Gray' s normalized matching algorithms: the original image and the gray level of matching graph, calculate the correlation coefficient obtained after the matching area.
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快速NCC(normalized cross correlation)算法实现。比matlab自带的normxcorr2 快10-20倍。在windows Unix环境下c语言，和matlab编译通过。-use Matlab on Windows or Linux or Mac OS X and want fast (exact, general-case) normalized correlation (NCC) code right now, then download it and enj
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这是一篇论文，主要内容是归一化互相关算法的原理及快速计算-Fast Normalized Cross-Correlation
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code to get optical flow using normalized cross correlation
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