Description: MATCHBYCORRELATION - match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point. Only points that correlate most strongly with each other in *both* directions are returned. This is a simple-minded N^2 comparison. Platform: |
Size: 3051 |
Author:wugang |
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Description: 这是一个基于灰度相关进行影像匹配的小程序，基于matlab编写-This is a gray correlation based on the image matching small procedures, based on the preparation of Matlab Platform: |
Size: 316416 |
Author:李巧枝 |
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Description: 一种对相关匹配的改进，可以识别部分遮挡的目标，具有目标轨迹预测功能-An improvement on the correlation matching to identify some of the objectives of shelter, with the target trajectory prediction function Platform: |
Size: 376832 |
Author:wu78zg |
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Description: 最大积相关图像匹配源码与测试图片，实现了最大积相关的计算，完整的演示，匹配时间计算。-Plot related to the image matching the largest source and test images, to achieve the greatest plot-related terms, a complete presentation, matching the calculation of time. Platform: |
Size: 4060160 |
Author:惠飞 |
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Description: 图像相关匹配算法的快速实现，对原有算法进行了改进！-Image correlation matching algorithm fast realization of the original algorithm has been improved! Platform: |
Size: 431104 |
Author:小哈 |
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Description: 针对传统图像相关匹配算法计算量较大的问题,研究图像库中相关图像搜索方法. 提出一种改进的相关
匹配算法,该方法通过对相关系数公式进行简化和迭代运算,减少了重复运算. 通过设定参考图像与目标图像的相
关系数阈值,只需计算方差相差较小的点的相关系数,提高了运算速度,计算时间减少到原来的14 ％ ,甚至更短.
在文件夹的图像搜索中实现了图像的快速匹配.-Traditional image correlation algorithm to match the volume of the larger issues, research image library, image search method. An improved matching algorithm, the method of correlation coefficient formula and iterative calculations can be simplified, reducing duplication of computing. by setting the reference image and target image of the correlation coefficient threshold, simply calculating the variance of the point difference between the smaller the correlation coefficient to improve the computing speed, computing time was reduced to the original 14, or less. in the folder Image Search achieving rapid image matching. Platform: |
Size: 241664 |
Author:李锋 |
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Description: MATCHBYCORRELATION - match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point. Only points that correlate most strongly with each other in *both* directions are returned. This is a simple-minded N^2 comparison. -MATCHBYCORRELATION- match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding each point. Only points that correlate most strongly with each other in* both* directions are returned. This is a simple-minded N ^ 2 comparison. Platform: |
Size: 3072 |
Author:wugang |
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Description: 一种全自动稳健的图像拼接融合算 提出了一种全自动稳健的图像拼接融合算法。此算法采用Harris角检测算子进行特征点提取,使提取的
精度达到了亚像素级,然后以特征点邻域灰度互相关法进行特征点匹配得到了初步的伪匹配集合,并运用稳健的
RANSAC算法将伪匹配点集合划分为内点和外点,在内点域上运用LM优化算法精确地估计出了图像间的点变
换关系,最后采用颜色插值对交接处进行颜色过渡。整个算法自动完成,它对有较大误差或错误的特征点数据迭代
过滤,并用提纯后的数据来做模型估计
-A robust fully automatic image mosaic fusion operator presents a fully automatic image stitching robust fusion algorithm. This algorithm uses the Harris operator angle detection feature point extraction, so that the accuracy of extracting the sub-pixel, and then feature points to the neighborhood gray-scale cross-correlation method for matching feature points have been the initial pseudo-match collection and use of sound RANSAC algorithm pseudo-matching point set is divided into inner and outer points, including point-domain LM optimization algorithm used to estimate accurately the image transform relations between points, and finally the use of color interpolation of the color transition of the junction. The entire algorithm for auto-complete, it has a larger error or error of feature points iterative data filtering, and purification of model data to make estimates Platform: |
Size: 117760 |
Author:王钰 |
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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: 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 image and the template image is decomposed to the B layer, and retain only low-frequency part of the LL, and then use normalized correlation as a similarity measure, carried out by the rough to the relevant matching process, each time using the matching results of the next layer in the upper small scale search. This greatly reduces the search space, but also reduced the calculation of similarity for each match the amount of data. Platform: |
Size: 252928 |
Author:韩小芳 |
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Description: 寻找相应的特点,在一副图片的基础是许多光流、立体的视觉和图像间的配准算法。一个发现匹配方法简单,取一小块一个图像,计算其滑动互相与其他的形象,并找到一个高峰。此表格提供了课堂的实现方法。-Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward approach to finding a match is to take a small patch of one image, compute its sliding cross-correlation with the other image, and find a peak. This submission supplies a class which implements this method.
Platform: |
Size: 776192 |
Author:王羽 |
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Description: matching shape can be subdivided between two approaches: feature-based and template-based matching. The feature-based approach uses the features of the search and template image, such as edges or corners, as the primary match-measuring metrics to find the best matching location of the template in the source image. The template-based, or global, approach, uses the entire template, with generally a sum-comparing metric (using SAD, SSD, cross-correlation, etc.) that determines the best location by testing all or a sample of the viable test locations within the search image that the template image may match up to. Platform: |
Size: 10481664 |
Author:gislam |
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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: correlation matching using matlab it is a code used for match correlation a image in matlab software.
using this we can a correlate an image.-correlation matching using matlab it is a code used for match correlation a image in matlab software.
using this we can a correlate an image. Platform: |
Size: 5120 |
Author:Mano |
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Description: 针对多幅图像之间的图像配准问题，该文提出了一种新的图像自动配准算法。该算法应用Harris
角点检测方法获得角点信息。在匹配过程中。采用圆形区域和双向相关系数法进行相似性度量。采用圆
形区域，很好的解决了旋转问题；采用双向相关系数法，更加保证了匹配的精确度，减少误匹配率。初步
实验结果表明：该方法可以高效短时地实现图像间的自动配准。-Image registration problem between multiple images of the paper, a new automatic image registration algorithm. The algorithm is applied Harris corner detection method corner. In the matching process. Round regional and bi-directional correlation coefficient method to measure the similarity. Circular area, a good solution to the rotation problem using the the bidirectional correlation coefficient method, more to ensure the accuracy of the match to reduce the rate of false matching. The preliminary experimental results show that: The method is to achieve the automatic alignment between the images can be efficiently short. Platform: |
Size: 359424 |
Author:liu |
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Description: 动态跟踪人的眼睛，初学者可以下载学习，使用最大互相关算法实现模板与待测图像的配准-Dynamic tracking people' s eyes, beginners can download the study, using the maximum cross-correlation algorithm and tested template image registration Platform: |
Size: 2048 |
Author:祥林 |
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Description: 利用相位相关法实现了图像的匹配，这种方法的优点是提取速度快，方法简单，运算量少。-Using the phase correlation method to realize the image matching, the advantage of this method is the extraction method is simple, fast, less computation. Platform: |
Size: 4096 |
Author:xiaohanhan |
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Search - image correlation match