用基于轮廓的力矩主轴法实现MRI图像配准 用matlab写

以下是基于轮廓的力矩主轴法实现MRI图像配准的matlab代码：

% 读取MRI图像
fixed = imread('fixed_image.nii');
moving = imread('moving_image.nii');

% 对图像进行预处理
fixed = imadjust(fixed);
moving = imadjust(moving);

% 提取图像的轮廓
fixed_edge = edge(fixed,'sobel');
moving_edge = edge(moving,'sobel');

% 计算图像的力矩主轴
fixed_props = regionprops(fixed_edge, 'Orientation', 'MajorAxisLength', 'Centroid');
fixed_angle = fixed_props.Orientation;
fixed_maj_len = fixed_props.MajorAxisLength;
fixed_centroid = fixed_props.Centroid;

moving_props = regionprops(moving_edge, 'Orientation', 'MajorAxisLength', 'Centroid');
moving_angle = moving_props.Orientation;
moving_maj_len = moving_props.MajorAxisLength;
moving_centroid = moving_props.Centroid;

% 计算旋转角度和缩放比例
angle_diff = fixed_angle - moving_angle;
scale_diff = fixed_maj_len / moving_maj_len;

% 进行图像旋转和缩放
tform = affine2d([cosd(angle_diff) -sind(angle_diff) 0; sind(angle_diff) cosd(angle_diff) 0; 0 0 scale_diff]);
moving_transformed = imwarp(moving,tform,'OutputView',imref2d(size(fixed)));

% 显示配准后的图像
figure;
imshowpair(fixed,moving_transformed,'Scaling','joint');
title('MRI图像配准结果');