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这是一篇较长的论文，论述最小均方算法的原理及应用-Fast Normalized Cross-Correlation
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Normalized cross correlation between two images
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图像拼接源码 ，合称360度全景图
采用归一化互相关-Source image stitching, collectively known as 360-degree panorama using normalized cross-correlation
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时域基音检测的基本原理和方法。基音检测的预处理和后处理的基本思想和方法。基于归一化互相关函数的基音检测算法。
-Basic principles and methods of time-domain pitch detection. Pitch detection, pre-and post-processing of the basic ideas and methods. Pitch detection algorithm based on normalized cross-correl
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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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基于NCC（归一化互相关）的图像配准算法-NCC (normalized cross-correlation), image registration algorithm
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归一化互相关算法是传统的图像匹配算法,针对传统图像匹配算法运算量大、速度慢的缺点,提出了一种基于小波变换的多尺度图像匹配算法。-Normalized cross-correlation algorithm is the traditional image matching algorithm, proposed a wavelet transform-based multi-scale image matching algorithm for the large amount of comput
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归一化互相关图像配准
有时一幅图像是另一幅图像的子图像，可以利用归一化互相关通过移动一幅图像来是两幅图像配准。-Normalized cross-correlation image registration Sometimes an image is another image of the sub-image, by moving an image using the normalized cross-correlation to two image registration.
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Enhanced Normalized Cross Correlation for Stereo Correspondence
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The code is of Normalized Cross Correlation technique for object detection
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The code is there for the Normalized Cross Correlation Techniques for object detection in matlab
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对语音信号的基音进行估计，使用归一化互相关函数的基音估计算法，估计准确度较高。-On the pitch of the speech signal is estimated using a normalized cross-correlation function of the pitch estimation algorithm with an estimated accuracy is higher.
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基于归一化互相关系数NCC的视觉算法，用于立体匹配 计算视差-Normalized Cross Correlation Strereo Vision algorithm
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【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
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此程序是在MATLAB下进行图像配准，通过归一化互相关来确定图像配准的区域。-This program is for image registration in MATLAB, by normalized cross-correlation to determine the image registration area.
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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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实现了三种图像匹配算法 1：归一化互相关匹配算法 2：基于Hausdorff距离的图像匹配算法 3：图像不变矩匹配算法-Implements three image matching algorithm 1: normalized cross correlation matching algorithm 2: image matching algorithm based on Hausdorff distance 3: The image matching algorithm invariant
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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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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
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测试以下图像信息
1。结构内容（SC）
2。均方误差（MSE）
3。峰值信噪比（PSNR值）
4。归一化互相关（NCC）
5。平均差（AD）
6。最大的差异（MD）
7。归一化绝对误差（NAE）-Image/Picture Quality Measures
In this application, different image quality measures are calculated for a distorted image with refere
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