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: idl环境下运行，计算两幅图像的交叉相关系数，用于变化检测方面的研究-idl environment to run the calculation two images of cross-correlation coefficient for change detection studies Platform: |
Size: 2048 |
Author:李观 |
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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: 数字图像相关计算和跟踪算法的Matlab实现
这个程序实现从一系列图像中计算图像应力，可以计算出水平和垂直的应力。-Source Code for Digital Image correlation and Tracking
Calculate displacement and strain from a series of images Platform: |
Size: 813056 |
Author:dengyan |
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Description: 提取图像的颜色特征，首先将图像颜色映射到指定的8个颜色，然后利用自相关和互相关计算得到图像的特征向量，并从原数据库中算出利用此方法检索图像的正确率，并将检索结果好的图像显示到指定文件夹中。-Extract image s color characteristics.First, the image color map to the specified eight colors, then use the auto-correlation and cross-correlation calculation of image feature vectors.and Calculated from the original database, retrieve the images using this method, the correct rate, and a good image display search results to a specified folder. Platform: |
Size: 324608 |
Author:董懂 |
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Description: 别对两幅图像提取广义特征点后，
利用基于根均方误差和交叉相关的两级匹配算法完成同名控制点的建立。并以局部加权直线拟合方法来校正图像
的几何畸变。最后建立两幅图像之间的函数映射关系，完成图像的配准。实验结果证明了该方法的有效性。-Do the two images extracted generalized characteristic point, the root mean square error-based and cross-correlation of the two control point matching algorithm to complete the establishment of the same name. And to locally weighted linear fitting method to correct image distortion. Finally set up between the two images, the mapping function to complete the image registration. Experimental results show the effectiveness of the method. Platform: |
Size: 568320 |
Author:林杰 |
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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: 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: 两副图片的频域互相关,没啥好说的,图象处理书上有算法,懂就懂,不懂就算,-Two images in the frequency domain cross-correlation, nothing to say, the book on image processing algorithms, to understand to understand, do not know even if, Platform: |
Size: 1024 |
Author:唐逸飞 |
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Description: 利用互相关检测两幅图间平移，利用傅里叶梅林检测两幅图旋转缩放-Using cross-correlation detection of translation between two images,using Fourier Mellin detect the rotationn and zoom of the two images. Platform: |
Size: 3072 |
Author:lgs2007m |
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Description: 图像配准主要是通过两幅图像之间的互相关的最大值来确定配准的位置，从而在另一幅图像中显示配准的图像-Image registration is mainly through the maximum cross-correlation between the two images to determine the location of the registration and registered image, which is displayed in another image Platform: |
Size: 4096 |
Author:赵建平 |
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Description: 采用matlab语言对两幅图像采用互相关函数进行图像配准-Two images using matlab language pairs using cross-correlation function for image registration Platform: |
Size: 1024 |
Author:小呆 |
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Description: This algorithm is designed to segment an Satellite image using kmeans and then applied cross correlation between kmeans clusters and template image. This algorithm is designed to work with satellite images to extract the water bodies (lake, river, ocean, etc.) Platform: |
Size: 2048 |
Author:Ajitpal Brar |
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Description: This algorithm is designed to convert an Satellite image (target image) and template image using local binary pattern (LBP) and then applied cross correlation between LBP target image and LBP template image. This algorithm is designed to work with satellite images to extract the water bodies (lake, river, ocean, etc.) Platform: |
Size: 4096 |
Author:Ajitpal Brar |
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Description: The fusion of images is the process of combining two or more images into a single image retaining important features from each of the images. A scheme for fusion of multi-resolution 2D gray level images based on wavelet transform is presented in this paper. If the images are not already registered, a point-based registration, using affine transformation is performed prior to fusion. The images to be fused are first decomposed into sub images with different frequency and then information fusion is performed using these images under the proposed gradient and relative smoothness criterion. Finally these sub images are reconstructed into the result image with plentiful information. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and comparison with some of the existing wavelet transform based image fusion techniques is carried out. Platform: |
Size: 3039232 |
Author:Deepesh |
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Description: 【谷速软件】matlab有偿编程 对于灰度和彩色图像的快速归一化互相关 可以作为参考使用-[Valley] matlab paid programming speed software for grayscale and color images quickly normalized cross-correlation can be used as a reference Platform: |
Size: 16384 |
Author:彭红 |
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Description: 运用Hu矩描述图像，并通过归一化互相关算法对其进行匹配，找到最优匹配位置-The use of Hu Moments images and by normalized cross-correlation algorithm to match, to find the best match location Platform: |
Size: 3192832 |
Author:胡方方 |
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Search - cross correlation images