Description: Normalized Cross Correlation (NCC) algorithm is robust, but it has poor real-time performance
due to its large amount of computation. Platform: |
Size: 71680 |
Author:wang |
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Description: Implement in C, the Harris corner detector and the normalized cross correlation (NCC). Platform: |
Size: 4096 |
Author:Min-Liang Wang |
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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: 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.-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. Platform: |
Size: 1024 |
Author:mahmoud |
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Description: 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, it performs higher efficiency than Matlab built-in normxcorr2 (). Platform: |
Size: 584704 |
Author:MORGAN |
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Description: 二维投影相关法是基于二维投影的灰度相关匹配算法，主要利用匹配图像相邻像素的灰度值的大小关系
应该相同的原理进行图像匹配。该算法不仅大大减少了数据的维数，而且算法主要涉及（0,1）整数运算。与去均值
归一化互相关算法相比，其在保证匹配精度要求的前提下提高了匹配速度。
-Two-dimensional projection-related method is based on two-dimensional projection of the gray correlation matching algorithm, the main advantage of matching the image gray values of adjacent pixels the size of the relationship should be the same principle for image matching. The algorithm not only greatly reduce the data dimension, and the algorithm is mainly related to (0,1) integer arithmetic. And to the mean normalized cross-correlation algorithm, its accuracy in ensuring the match under the premise of improved matching speed. Platform: |
Size: 741376 |
Author:安安 |
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Description: Normalized cross-correlation function, contains all of the right to cross-correlation function, can easily use it Platform: |
Size: 1024 |
Author:Kirill Sakhnov |
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Description: 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 , an evaluation system is necessary to estimate the performance of all kinds of processing algorithms. Aiming at the imaging
interferometers of the satellites , an estimative method based on normalized cross 2correlation coefficient (NCC) for data cube re2
construction quality of imaging interferometer is presented. According to the context of a real imaging spectrometer , a simula2
tion system is built and many simulative tests are done. The experimental results prove that NCC is robust and feasible. Platform: |
Size: 538624 |
Author:drawsalt |
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Description: 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 the Region of Interest (ROI) and the number of similar targets to be tracked. The normalized cross correlation plot shows that when the value has exceeded the set threshold, the target has been identified. Platform: |
Size: 3072 |
Author:若苦 |
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Description: 图像配准：选择图像需要配准的子区域，计算归一化互相关，通过它来确定图像配准的区域，显示配准后的图像。-Image registration: Select the image sub-region need registration, computing normalized cross-correlation, by which to determine the image registration area to show the image after registration. Platform: |
Size: 1024 |
Author:shubin |
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Description: 一种改进的红外图像归一化互相关匹配算法，分析了传统归一化互相关算法在红外空中目标匹配定位时失效的原因,提出一种改进的红
外图像归一化互相关匹配算法. 该方法将模板和匹配区域之间的纹理相关计算看作一个最优化问
题，论文-An improved infrared image normalized cross correlation matching algorithms, analysis of the traditional normalized cross-correlation algorithm to match the positioning of infrared aerial target failure reason, an improved infrared images normalized cross correlation matching algorithm. The template matching method and the calculation of the regional correlation between the texture as an optimization problem, the paper Platform: |
Size: 748544 |
Author:cyy |
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Description: 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 enjoy the large performance gain over Matlab s normxcorr2 (demo included). For the brave (and/or masochistic) there is B), however, it is unlikely you will do better than the above. Thanks to Liang Jin for making the OS X binary (his performance comparison graph on a PowerPC). Platform: |
Size: 584704 |
Author: |
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Description: 采用模板匹配方法进行图像匹配，其中误差平方和测度经过归一化互相关处理。-Using template matching method for image matching, in which the error sum of squares measure through normalized cross correlation processing. Platform: |
Size: 112640 |
Author:ZDJ |
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Search - Normalized Cross Correlation