ransac算法图像匹配matlab代码

由于RANSAC算法的应用场景比较广泛，没有具体的图像匹配的matlab代码，以下是一个基于RANSAC算法的基本图像匹配示例代码，供参考：

% 读入两张图片
img1 = imread('image1.jpg');
img2 = imread('image2.jpg');

% 提取图片的特征点
points1 = detectSURFFeatures(rgb2gray(img1));
points2 = detectSURFFeatures(rgb2gray(img2));

% 提取特征点的描述子
[features1, valid_points1] = extractFeatures(rgb2gray(img1), points1);
[features2, valid_points2] = extractFeatures(rgb2gray(img2), points2);

% 进行特征点匹配
indexPairs = matchFeatures(features1, features2);

% 获取匹配的点对
matchedPoints1 = valid_points1(indexPairs(:, 1));
matchedPoints2 = valid_points2(indexPairs(:, 2));

% 通过RANSAC算法进行图像匹配
[tform, inlierIdx] = estimateGeometricTransform(matchedPoints1, matchedPoints2, 'affine');

% 显示匹配结果
figure;
showMatchedFeatures(img1, img2, matchedPoints1(inlierIdx), matchedPoints2(inlierIdx), 'montage');
title('Matched Points (Inliers Only)');
legend('Matched points 1', 'Matched points 2');

% 显示变换后的图像
figure;
transformedImg = imwarp(img2, tform);
imshowpair(img1, transformedImg, 'montage');
title('Transformed Image');