首先改进Harris角点检测算法,有效提高所提取特征点的速度和精度。然后利用相似测度NCC(normalized cross correlation——归一化互相关),通过用双向最大相关系数匹配的方法提取出初始特征点对,用随机采样法RANSAC(Random Sample Consensus)剔除伪特征点对,实现特征点对的精确匹配。最后用正确的特征点匹配对实现图像的配准。本...
disp(PSNR); %Normalized Cross-Correlation NK = NormalizedCrossCorrelation(origImg, distImg); disp('MNormalized Cross-Correlation = '); disp(NK); %Average Difference AD = AverageDifference(origImg, distImg); disp('Average Difference = '); disp(AD); %Structural Content SC = StructuralContent(...
自20世纪90年代初,Matlab通用参数控制库NCC(Normalized Cross-Correlation)引入以来,它已成为信号处理和图像处理中一种常用的方法。该方法在各种领域得到了广泛应用,如医学图像处理、计算机视觉等。波形相似参数nccmatlab作为NCC方法的一种重要扩展,提供了更加精确和高效的波形相似度计算,因此具有重要的研究价值。 二、波形...
Normalized cross-correlation is an undefined operation in regions whereAhas zero variance over the full extent of the template. In these regions,normxcorr2assigns correlation coefficients of zero to the outputC. Data Types:single|double|int8|int16|int32|int64|uint8|uint16|uint32|uint64|logical ...
NK = NormalizedCrossCorrelation(origImg, distImg); disp('MNormalized Cross-Correlation = '); disp(NK); %Average Difference AD = AverageDifference(origImg, distImg); disp('Average Difference = '); disp(AD); %Structural Content SC = StructuralContent(origImg, distImg); disp('Structural ...
Normalized cross-correlation is an undefined operation in regions whereAhas zero variance over the full extent of the template. In these regions,normxcorr2assigns correlation coefficients of zero to the outputC. Data Types:single|double|int8|int16|int32|int64|uint8|uint16|uint32|uint64|logical ...
优化的目标是最小化两个图像之间的差异度量,例如最小化归一化互信息(Normalized Mutual Information)或最大化互相关系数(Cross-Correlation Coefficient)。恶魔力(Demons Force)定义了变形场中每个像素点的位移方向和大小。它基于图像间的灰度差异,使得在配准过程中图像更加一致。广泛应用于医学影像领域,如MRI、CT等图像...
在计算机视觉领域,三维图像立体配准和融合是一项重要的任务。它涉及将多个视角下获取的图像进行配准,以获得一个准确的三维重建结果。本文将介绍基于SSD(Sum of Squared Differences)、SAD(Sum of Absolute Differences)和NCC(Normalized Cross Correlation)算法实现三维图像立体配准和融合的方法。
Simple euclidean distance简单欧氏距离:(Normalized) Cross Correlation交叉相关(归一化的):一种简单度量,可以用来比较图片的区域。比欧式距离更加鲁棒,但用于图像变形情况不起作用,需要设置thresholdHistogram comparision:直方图比较:如果你使用标准化后的直方图,那么效果会Detectors of salient poi ...
Compute and plot the normalized cross-correlation of vectorsxandywith unity peak, and specify a maximum lag of10. n = 0:15; x = 0.84.^n; y = circshift(x,5); [c,lags] = xcorr(x,y,10,'normalized'); stem(lags,c) Input Arguments ...