基于互信息的图像配准matlab

以下是基于互信息的图像配准matlab的示例代码：

1. 读取需要配准的两幅图像

fixed = imread('fixed.png');
moving = imread('moving.png');

2. 对图像进行灰度化处理

fixed = rgb2gray(fixed);
moving = rgb2gray(moving);

3. 定义图像配准的参数

optimizer = registration.optimizer.OnePlusOneEvolutionary;
metric = registration.metric.MattesMutualInformation;
optimizer.InitialRadius = 0.009;
optimizer.Epsilon = 1.5e-4;
optimizer.GrowthFactor = 1.01;
metric.NumberOfSpatialSamples = 500;
metric.NumberOfHistogramBins = 50;

4. 进行图像配准

tform = imregtform(moving,fixed,'affine',optimizer,metric);

5. 对移动图像进行变换

registered = imwarp(moving,tform,'OutputView',imref2d(size(fixed)));

6. 显示配准结果

figure;
subplot(1,3,1), imshow(fixed), title('Fixed Image');
subplot(1,3,2), imshow(moving), title('Moving Image');
subplot(1,3,3), imshowpair(fixed,registered,'blend'), title('Registered Image');