matlab比较两幅光学影像的变化矢量区域代码

下面是一份MATLAB代码，展示了如何比较两幅光学影像的变化矢量区域：

% Load and display two images
img1 = imread('image1.jpg');
img2 = imread('image2.jpg');
figure;
subplot(1,2,1); imshow(img1); title('Image 1');
subplot(1,2,2); imshow(img2); title('Image 2');

% Select reference image and create reference object
ref_img = img1;
ref_obj = imref2d(size(ref_img));

% Register second image to reference image
registered_img = imregister(img2, ref_img, 'affine', ...
                            optimizer, metric);

% Calculate transformation matrix
tform = imregtform(img2, ref_img, 'affine', ...
                   optimizer, metric);

% Apply transformation to second image
transformed_img = imwarp(img2, tform, ...
                         'OutputView', ref_obj);

% Compute difference between two images
diff_img = imabsdiff(ref_img, transformed_img);

% Find changed pixels
changed_pixels = imfindchangedpixels(diff_img, ...
    'MinChangedArea', 10, 'MinDistBetweenBlobs', 5);

% Display changed pixels
figure; 
imshow(diff_img); hold on;
plot(changed_pixels(:,1), changed_pixels(:,2), 'r.');
title('Changed Pixels');

需要注意的是，这份代码中的`optimizer`和`metric`是用来指定配准算法和度量方法的参数。它们可以根据具体需求进行修改。