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这是一种简单的互相关图像匹配算法，已经在matlab环境下测试过，效果很好。附带两张匹配图片-This is a simple cross-correlation image matching algorithm has been tested in the matlab environment, the effect is very good. With two matching pictures
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很小的一个脸部匹配程序。通过计算目标和模板的相关系数，圈出相关系数高于阈值的那部分。-Face matching program. Circle to that part of the correlation coefficient is higher than the threshold value by the correlation coefficient calculation target and template.
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1.打开左右两张影像2.Harris算法提取同名点3.显示提取同名点（若要进行下一步匹配则不建议显示，这里只是用于查看是否提取出）4.相关系数匹配（只在找出的同名点内匹配）5.LSM最小二乘匹配（先进行粗匹配，再精匹配）-1 Open the left and right images 2.Harris algorithm to extract two tie points 3 shows the extraction of corresponding points (not recommend
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根据相关系数进行图像模板的匹配 并标注目标在源图像的位置-According to the correlation coefficient of image template matching and annotations
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参考Object Removal by Exemplar-Based Inpainting中的相关算法，实现图像修补，在搜索匹配patch部分还有些小问题-Reference Object Removal by Exemplar-Based Inpainting the correlation algorithm, image repair, matching patch in the search and there is still some small problems
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编写相关系数匹配程序，实现计算机同名点自动量测，体会影像匹配初步过程。-Write correlation coefficient matching procedures, the computer automatically measured tie points, experience initial process image matching.
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Automatic quantification of regional left ventricular deformation in volumetric ultrasound data remains challenging. Many methods have been proposed to extract myocardial motion, including techniques using block matching, phase-based correlation, dif
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this code make optical character recognition using template matching with correlation method
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通过相关度的计算，实现相邻帧图片的匹配，从而监测到运动-By calculating the correlation of adjacent frames to achieve matching of the image, thereby to monitor the movement of
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利用点提取算法和相关系数法进行影像匹配，即在两幅影像之间识别同名点-Extraction algorithm and the use of the correlation coefficient method for image matching, ie, between the two images of the same name recognition points
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通过左片的同名点在右片进行相关系数匹配，最后得到相关系数匹配结果。-Piece by the same name in the left and right point correlation coefficient matching pieces, and finally get the correlation coefficient matching results.
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Normalized correlation coefficient for image template matching
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图像拼接在制作全景图的过程中具有重要作用。对多幅图像进行特定模式投影后,用约束的相位相关度法求取水平垂直偏移量,然后寻找最佳缝合线,实现图像拼接,最后采用多分辨率算法对全图进行拼接处理去除曝光差异和鬼影。-Image matching plays an important role in the process of producing panorama. After specific pattern of multiple image projection, with the constrai
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Simpla template matching is a sourc code for correlation between image 1 and image 2.
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归一互相关法的灰度图像模板匹配简单实现。缺点是会存在图像变形。仅供学习-Normalized cross-correlation method of gray image template matching simple implementation. The disadvantage is that there will be image distortion. Only to learn
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图像的简单匹配程序，在左影像上点一点，然后使用相关系数法在右影像上进行全局遍历，找到相关系数最大的点，设为匹配的目标点。-Simple image matching program, the image on the left point a little, and then use the correlation coefficient on the right image globally traversal, find the maximum point of the correlatio
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解决IR-UWB通信系统信号捕获和同步。该方法基于导频序列。接收机使用与导频脉冲序列相匹配的相关滤波器。-To solve the IR-UWB communication system signal acquisition and synchronization. The method is based on the pilot sequence. The receiver uses correlation filter pulse sequence matching with the pil
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进行立体匹配的相关算法，包含BM,SGBM,VAR等方法-Correlation stereo matching algorithms, including BM, SGBM, VAR and other methods
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影响匹配，特征点提取后的影像相关系数，来找同名点。-Image matching, image feature points extracted correlation coefficient, and came to the point of the same name.
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图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的
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