WAVEDEC2前面的系数太多,请修改代码
时间: 2023-11-15 18:05:45 浏览: 49
当使用`wavedec2`函数进行小波分解时,输出参数的数量应该与小波分解的层数和图像的大小相对应。如果输出参数数量不正确,会引发"输出参数太多"或"输出参数太少"的错误。在上述代码中,当将小波分解的层数从1层改为3层时,输出参数的数量需要相应地增加。
以下是修改后的Matlab程序:
```matlab
% 读入可见光图像和红外光图像
visible = imread('visible.jpg');
infrared = imread('infrared.jpg');
% 将图像转换为灰度图像
visible = rgb2gray(visible);
infrared = rgb2gray(infrared);
% 将灰度图像归一化到0到1之间
visible = double(visible) / 255;
infrared = double(infrared) / 255;
% 将灰度图像进行小波分解
[visible_c, visible_l3, visible_l2, visible_l1] = wavedec2(visible, [3,3,3], 'haar');
[infrared_c, infrared_l3, infrared_l2, infrared_l1] = wavedec2(infrared, [3,3,3], 'haar');
% 将可见光图像和红外光图像的低频分量进行加权平均
alpha = 0.5;
cA = alpha * visible_l3 + (1 - alpha) * infrared_l3;
% 将可见光图像和红外光图像的高频分量进行最大值融合
cH3 = max(visible_c(1:size(visible_c,2)/8), infrared_c(1:size(infrared_c,2)/8));
cV3 = max(visible_c(size(visible_c,2)/8+1:size(visible_c,2)/4), infrared_c(size(infrared_c,2)/8+1:size(infrared_c,2)/4));
cD3 = max(visible_c(size(visible_c,2)/4+1:3*size(visible_c,2)/8), infrared_c(size(infrared_c,2)/4+1:3*size(infrared_c,2)/8));
cH2 = max(visible_c(3*size(visible_c,2)/8+1:size(visible_c,2)/2), infrared_c(3*size(infrared_c,2)/8+1:size(infrared_c,2)/2));
cV2 = max(visible_c(size(visible_c,2)/2+1:5*size(visible_c,2)/8), infrared_c(size(infrared_c,2)/2+1:5*size(infrared_c,2)/8));
cD2 = max(visible_c(5*size(visible_c,2)/8+1:3*size(visible_c,2)/4), infrared_c(5*size(infrared_c,2)/8+1:3*size(infrared_c,2)/4));
cH1 = max(visible_c(3*size(visible_c,2)/4+1:7*size(visible_c,2)/8), infrared_c(3*size(infrared_c,2)/4+1:7*size(infrared_c,2)/8));
cV1 = max(visible_c(7*size