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相位相关配准，图像匹配，图像处理，matlab源码-phase correlation registration, image matching, image processing, Matlab FOSS
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基于OpenCV和FFTW实现的相位相关图像匹配程序，需要OpenCV和FFTW库文件的支持。本程序并没有用到OpenCV中的DFT，而是用了FFTW中的FFT，所以速度要快很多。-Based on OpenCV and the FFTW implementation phase correlation image matching procedures, require OpenCV and FFTW library files. This procedure does not use Ope
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实现相位相关图像配准,编译产生库文件，用于openCV平台。实现了相位相关图像的快速搜索和两幅图像之间的匹配-Implementation phase correlation image registration, create library files compiled for openCV platform. Achieve the rapid phase correlation image search and matching between two images
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matlab下利用相位相关对待匹配图像完成配准-matlab treated under the matching images using phase correlation to complete registration
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Phase Based Template Matching: Phase information is used for matching the input imagery with the template. Both the images are filtered with canny edge detector. The timing efficiency is introduced by implementing skipping steps while doing correlati
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利用logGabor函数分别提取待匹配图和模板图的相位信息作为匹配基元，进行互相关运算，寻找最佳匹配位置-Use to be extracted separately logGabor function map and template matching of the phase diagram as an information matching primitives to carry out cross-correlation calculation, find the best match
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phase correlation - image matching-phase correlation- image matching
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A Fingerprint Matching Algorithm Using Phase Only Correlation
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Improved Phase Correlation Matching
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采用图像相位信息作为立体匹配基元，同时具有区域相关法的定位精度高，恢复视差密度大和特征匹配法的实现速度快等优点-Using image phase information as a stereo matching primitives, while the regional correlation with high positioning accuracy, recovery and characteristics of dense disparity matching method to a
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基于特征点匹配的拼接算法研究与实现，先利用相位相关法确定图像重叠区域，然后采用改进Harris角点检测算法
检测角点，再根据相似测度NCC(Normalized Cross Correlation)方法提取出匹配特征点对-Based on feature points matching stitching algorithm research and implementation, the first phase correlation method to determine the ima
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Phase of Correlation (POC). 在图像匹配上，需要寻找left image和right image的特征值，并将它们匹配起来,Phase of Correlation (POC) is used in image matching. POC can be used to find the matched feature points in left and right image for stereo cameras.
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基于相位相关模板匹配的全景图像拼接,简单易懂-Panoramic image mosaicing phase correlation based on template matching, easy to understand
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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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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.
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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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该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法-The program is my many years of experience and code, the realization of the panora
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用于特征降维，特征融合，相关分析等,是小学期课程设计的题目，可以得到很精确的幅值、频率、相位估计，包括数据分析、绘图等等,有详细的注释，粒子图像分割及匹配均为自行编制的子例程。- For feature reduction, feature fusion, correlation analysis, Is the topic of the elementary school stage curriculum design, You can get a very accurate amplitud
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粒子图像分割及匹配均为自行编制的子例程，一个很有用的程序，含噪脉冲信号进行相关检测,多姿态，多角度，有不同光照,可以得到很精确的幅值、频率、相位估计，实现了对10个数字音的识别程。-Particle image segmentation and matching subroutines themselves are prepared, A very useful program, Noisy pulse correlation detection signal, Much posture, mu
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曲面拟合法是一种高精度、计算量小、抗噪性能强的方法，当前已被广泛地应用于
各种场景。比如岩石材料的变形测量、电子器件变形的测量、基于掌纹图像相关匹
配的重复定位技术等。曲面拟合法能够成功计算出亚像素位移的前提是整像素搜索阶
段可以正确搜索出模板的整像素匹配点，一旦整像素匹配点搜索出现错误，那么亚像素
测量阶段所得到的位移距离就会失去意义。
使用不同的拟合函数对相关系数矩阵进行曲面拟合，会对结果产生一定的影响，比
较常用的拟合函数有二次函数、三次函数、高斯函数等。(Surface fi
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