matlab影像融合
时间: 2023-11-20 11:56:18 浏览: 26
以下是几种常见的MATLAB影像融合方法及相应的代码:
1. 像素级融合
```matlab
% 读取两幅图像
img1 = imread('image1.jpg');
img2 = imread('image2.jpg');
% 将两幅图像进行像素级融合
alpha = 0.5; % 调整融合比例
img_fused = alpha * img1 + (1 - alpha) * img2;
% 显示融合后的图像
imshow(img_fused);
```
2. 小波变换融合
```matlab
% 读取两幅图像
img1 = imread('image1.jpg');
img2 = imread('image2.jpg');
% 将两幅图像进行小波变换
[cA1, cH1, cV1, cD1] = dwt2(img1, 'haar');
[cA2, cH2, cV2, cD2] = dwt2(img2, 'haar');
% 将低频部分进行平均融合
cA_fused = (cA1 + cA2) / 2;
% 将高频部分进行最大值融合
cH_fused = max(cH1, cH2);
cV_fused = max(cV1, cV2);
cD_fused = max(cD1, cD2);
% 将融合后的小波系数进行反变换
img_fused = idwt2(cA_fused, cH_fused, cV_fused, cD_fused, 'haar');
% 显示融合后的图像
imshow(uint8(img_fused));
```
3. Laplacian金字塔融合
```matlab
% 读取两幅图像
img1 = imread('image1.jpg');img2 = imread('image2.jpg');
% 将两幅图像进行Laplacian金字塔分解
levels = 5; % 金字塔层数
img1_pyramid = img_pyramid(img1, levels);
img2_pyramid = img_pyramid(img2, levels);
% 将两幅图像的Laplacian金字塔进行融合
img_fused_pyramid = cell(1, levels);
for i = 1:levels
img1_level = img1_pyramid{i};
img2_level = img2_pyramid{i};
img_fused_level = img1_level + img2_level;
img_fused_pyramid{i} = img_fused_level;
end
% 将融合后的Laplacian金字塔进行重构
img_fused = img_reconstruct(img_fused_pyramid);
% 显示融合后的图像
imshow(uint8(img_fused));
```