Description: 算法不仅具有旋转不变性, 而且对灰度变化、噪声、光照以及对比度变化等也具有很好的鲁棒性, 同时匹配速度比归一化积相关匹配算法(N P rod) 提高了近一倍。-algorithm with a rotating invariance, but the gray changes, noise, light and contrast changes with good robustness, while matching faster than a normalized correlation matching algorithm (N P rod), an increase of nearly 100%. Platform: |
Size: 349335 |
Author:李杰 |
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Description: G-P算法计算关联维的 Matlab 程序 (升级版，mex函数，超快)
作者：陆振波，海军工程大学
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个人主页：luzhenbo.88uu.com.cn
更新部分：
引入限制短暂分离参数，使该参数大于序列平均周期时，去除了同一轨道前后点的关联，
使 r 值较小时，ln r - ln C(r) 曲线接近线性
文件夹说明：
1、GP_Algorithm_main.m - 程序主文件
2、LorenzData.dll - 产生Lorenz离散数据
3、normalize_1.m - 数据归一化
4、CorrelationIntegral.dll - 计算关联积分-G-P algorithm in Matlab correlation dimension (upgrade version mex function, ultrafast) Author : bo, the Navy Engineering from the University of peer welcome exchanges and cooperation, more and download articles please visit my personal web page e-mail : luzhenbo@sina.com 000 people Home : luzhenbo.88uu.com.cn update : the introduction of restrictions on temporary separation parameters so that the sequence of parameters than the average cycle, in addition to the same orbit around the point and makes a relatively small r, r ln- ln C (r) curve is nearly linear document folders : 1, GP_Algorithm_main.m-procedure two main documents, LorenzData.dll- Lorenz have three discrete data, normalize_1.m-normalized data of four, CorrelationIntegral.dll-associated integral calculation Platform: |
Size: 6144 |
Author:陆振波 |
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Description: 算法不仅具有旋转不变性, 而且对灰度变化、噪声、光照以及对比度变化等也具有很好的鲁棒性, 同时匹配速度比归一化积相关匹配算法(N P rod) 提高了近一倍。-algorithm with a rotating invariance, but the gray changes, noise, light and contrast changes with good robustness, while matching faster than a normalized correlation matching algorithm (N P rod), an increase of nearly 100%. Platform: |
Size: 349184 |
Author:李杰 |
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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: 为了解决光谱恢复对图像匹配高精度的问题, 提出了一种高精度图像匹配算法———利用光流确定图像的运动场对图像进行匹配。该算法克服了传统的基于灰度匹配方法受图像插值精度影响的缺陷以及运算速度和精度的局限性。与基于MAD 块匹配算法和归一化相关系数块匹配算法进行比较, 该算法实现了图像序列高精度匹配, 而且硬件实现简单, 计算复杂度较低。-To address the spectrum of the resumption of high-precision image matching problem, a high-precision image matching--- the use of optical flow algorithm to determine the image of the stadium to match the image. The algorithm to overcome the traditional matching method based on gray-scale image interpolation accuracy by the effects of defects, as well as the speed and accuracy of computing limitations. MAD-based block matching algorithm and the normalized correlation coefficient to compare block-matching algorithm, the algorithm achieved a high-precision image sequence matching, and simple hardware implementation, lower computational complexity. Platform: |
Size: 222208 |
Author:酷鱼 |
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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: 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. Platform: |
Size: 1024 |
Author:王军 |
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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: 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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Search - normalized correlation