运动估计——块匹配算法MATLAB代码

以下是块匹配算法的MATLAB代码示例：

function [u, v] = blockmatch(img1, img2, blocksize, searchrange)
%img1和img2为要匹配的两幅图像，blocksize为块大小，searchrange为搜索范围
%u和v为图像的位移

[h, w] = size(img1);
u = zeros(h/blocksize, w/blocksize);
v = zeros(h/blocksize, w/blocksize);

for i = 1:blocksize:h
    for j = 1:blocksize:w
        block_img1 = img1(i:i+blocksize-1, j:j+blocksize-1);
        search_img2 = img2(max(i-searchrange,1):min(i+searchrange,h-blocksize+1), max(j-searchrange,1):min(j+searchrange,w-blocksize+1));
        %计算块之间的差异，使用SSD（平方误差和）作为相似性度量
        ssd = sum(sum((block_img1 - search_img2).^2));
        %在搜索范围内找到最相似的块
        [row, col] = find((block_img1 - search_img2).^2 == min(min((block_img1 - search_img2).^2)));
        %计算位移向量
        u((i-1)/blocksize+1, (j-1)/blocksize+1) = row(1) - searchrange - 1;
        v((i-1)/blocksize+1, (j-1)/blocksize+1) = col(1) - searchrange - 1;
    end
end
end

该代码将图像分成块，然后在搜索范围内寻找与每个块最相似的块，计算位移向量，并将其存储在u和v中。