用matlab自带函数showMatchedFeatures中给的示例进行SURF特征提取匹配，显示出匹配结果图片
用points1是n×1的SURFpoints数组，f1是一个n×64的矩阵（n是特征点个数，64是SURF描述子的维度），vpts1是n×1的SURFpoints数组，indexPairs是m×2的矩阵（m是匹配对数，第一列是图1的，第二列图2的）
I1 = imread('cameraman.tif');I2 = imresize(imrotate(I1,-20), 1.2);points1 = detectSURFFeatures(I1);points2 = detectSURFFeatures(I2);[f1, vpts1] = extractFeatures(I1, points1);[f2, vpts2] = extractFeatures(I2, points2);indexPairs = matchFeatures(f1, f2) ;matchedPoints1 = vpts1(indexPairs(:, 1));matchedPoints2 = vpts2(indexPairs(:, 2));% Visualize putative matches% figure; showMatchedFeatures(I1,I2,matchedPoints1,matchedPoints2);%一张图中显示figure; showMatchedFeatures(I1,I2,matchedPoints1,matchedPoints2,'montage');%两张图中显示title('Putative point matches');legend('matchedPts1','matchedPts2');
结果
用自己的图片替换
I1_rgb = imread('F:\stitching\imagess\theater_01.jpg');I2_rgb = imread('F:\stitching\imagess\theater_02.jpg');I1 = rgb2gray(I1_rgb);I2 = rgb2gray(I2_rgb);points1 = detectSURFFeatures(I1);points2 = detectSURFFeatures(I2);[f1, vpts1] = extractFeatures(I1, points1);[f2, vpts2] = extractFeatures(I2, points2); indexPairs = matchFeatures(f1, f2) ;matchedPoints1 = vpts1(indexPairs(:, 1));matchedPoints2 = vpts2(indexPairs(:, 2));% Visualize putative matchesfigure; showMatchedFeatures(I1_rgb,I2_rgb,matchedPoints1,matchedPoints2,'montage');title('Putative point matches');legend('matchedPts1','matchedPts2');
结果
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