图像拼接matlab

以下是使用Matlab进行图像拼接的步骤：
1.读取需要拼接的图像并进行灰度转换。

img1 = rgb2gray(imread('image1.jpg'));
img2 = rgb2gray(imread('image2.jpg'));

2.提取图像特征点并进行匹配。

points1 = detectSURFFeatures(img1);
points2 = detectSURFFeatures(img2);
[features1, valid_points1] = extractFeatures(img1, points1);
[features2, valid_points2] = extractFeatures(img2, points2);
indexPairs = matchFeatures(features1, features2);
matchedPoints1 = valid_points1(indexPairs(:, 1), :);
matchedPoints2 = valid_points2(indexPairs(:, 2), :);

3.计算变换矩阵并进行图像拼接。

[tform, inlierPoints1, inlierPoints2] = estimateGeometricTransform(matchedPoints1, matchedPoints2, 'affine');outputView = imref2d(size(img1));
panorama = imwarp(img2, tform, 'OutputView', outputView);
panorama = imfuse(img1, panorama, 'blend','Scaling',joint');
imshow(panorama);

其中，SURF是一种常用的特征点提取算法，estimateGeometricTransform函数用于计算变换矩阵，imwarp函数用于进行图像变换，imfuse函数用于将两幅图像进行融合。