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Image-Processing-Using-Matlab-Simulink-CT-Scan-MRI-Image

main code

close all clear clc %% Read Images

% the size of images must be equal

[file, pathname] = uigetfile('.jpg','Load Image 1 ');cd(pathname); a=imread(file); [Ax,Ay,Az]=size(a); if Az>1 a=rgb2gray(a); end [file, pathname] = uigetfile('.jpg','Load Image 2 ');cd(pathname); b=imread(file); [Bx,By,Bz]=size(b); if Az>1 b=rgb2gray(b); end

%% Wavelet Transform

[a1,b1,c1,d1]=dwt2(a,'db2'); [a2,b2,c2,d2]=dwt2(b,'db2');

[k1,k2]=size(a1);

%% Fusion Rules

%% Average Rule

for i=1:k1 for j=1:k2 a3(i,j)=(a1(i,j)+a2(i,j))/2; end end

%% Max Rule

for i=1:k1 for j=1:k2 b3(i,j)=max(b1(i,j),b2(i,j)); c3(i,j)=max(c1(i,j),c2(i,j)); d3(i,j)=max(d1(i,j),d2(i,j)); end end

%% Inverse Wavelet Transform

c=idwt2(a3,b3,c3,d3,'db2'); [Cx,Cy,Cz]=size(c); a=imresize(a,[Cx,Cy]); b=imresize(b,[Cx,Cy]); imshow(a) title('First Image')

figure,imshow(b) title('Second Image')

figure,imshow(c,[]) title('Fused Image');

[M,N]=size(a); [M1,N1]=size(b); %% Performance Criteria

CR1=corr2(a,c); CR2=corr2(b,c); S1=snrr(double(a),double(c)); S2=snrr(double(b),double(c)); MSE1 = sum(sum((double(a)-double(c)).^2))/(MN); MSE2 = sum(sum((double(b)-double(c)).^2))/(M1N1);

fprintf('Correlation between first image and fused image =%f \n\n',CR1); fprintf('Correlation between second image and fused image =%f \n\n',CR2); fprintf('SNR between first image and fused image =%4.2f db\n\n',S1); fprintf('SNR between second image and fused image =%4.2f db \n\n',S2); fprintf('MSE between first image and fused image =%4.2f db \n\n',MSE1); fprintf('MSE between second image and fused image =%4.2f db \n\n',MSE2);

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