clear
[imA,map1] = imread('medA.jpg');
M1 = double(imA) / 256;
[imB,map2] = imread('medB.jpg');
M2 = double(imB) / 256;
zt= 4;
wtype = 'db1'
%
M1 - input image A
%
M2 - input image B
%
wtype使用的小波类型
%
Y- fused image
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%
%%小波变换图像融合
%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% 小波变换的绝对值大的小波系数，对应着显著的亮度变化，也就是图像中的显著特征。所以，选择绝对值大
%% 的小波系数作为我们需要的小波系数。【注意，前面取的是绝对值大小，而不是实际数值大小】
%%
%% 低频部分系数采用二者求平均的方法
%%
%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
[c0,s0] = wavedec2(M1, zt, wtype);%多尺度二维小波分解
[c1,s1] = wavedec2(M2, zt, wtype);%多尺度二维小波分解
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%后面就可以进行取大进行处理。然后进行重构，得到一个图像
%%的小波系数，然后重构出总的图像效果。
%%取绝对值大的小波系数，作为融合后的小波系数
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
KK = size(c1);
Coef_Fusion = zeros(1,KK(2));
Temp = zeros(1,2);
Coef_Fusion(1:s1(1,1)) = (c0(1:s1(1,1))+c1(1:s1(1,1)))/2;%低频系数的处理
%这儿，连高频系数一起处理了，但是后面处理高频系数的时候，会将结果覆盖，所以没有关系
%处理高频系数
MM1 = c0(s1(1,1)+1:KK(2));
MM2 = c1(s1(1,1)+1:KK(2));
mm = (abs(MM1)) > (abs(MM2));
Y= (mm.*MM1) + ((~mm).*MM2);
Coef_Fusion(s1(1,1)+1:KK(2)) = Y;
%处理高频系数end
%重构
Y = waverec2(Coef_Fusion,s0,wtype);
Y=im2uint8(Y)
%显示图像
subplot(2,2,1);imshow(M1);
colormap(gray);
title('input2');
axis square
subplot(2,2,2);imshow(M2);
colormap(gray);
title('input2');
axis square
subplot(223);imshow(Y,[]);
colormap(gray);
title('融合图像');
axis square;
以上程序融合其他灰度图像没问题，但融合woman时出错，要怎么改，谢谢了
|
