Reputation: 65
I'm filtering an image using a mask and the Discret Fourier Trasform, till now i have this
A=double(imread('C:\Users\samsung\Documents\Lab Imagenes\CHE.jpg','jpg'));
B=[1 4 6 4 1; 4 16 24 16 4; 6 24 36 24 6; 4 16 24 16 4; 1 4 6 4 1];
F=(1/256).*(B);
DFT_A=fftshift(fft2(A));
imshow(DFT_A);
DFT_A_F=DFT_A.*F;
figure
imshow(DFT_A_F)
but when i want to see partial results I got this error
??? Error using ==> times
Matrix dimensions must agree.
Error in ==> fourier1 at 10
DFT_A_F=DFT_A.*F;
I know that i need to do zero padding to the mask, but i don't know how to do it, please I need help Thanks!
Upvotes: 4
Views: 415
Reputation: 26069
what you want is called 'padarray' , just after you define DFT_A:
padsize= [round(0.5*size(DFT_A,1)-0.5*size(F,1)) round(0.5*size(DFT_A,2)-0.5*size(F,2))];
F = padarray(F, padsize);
DFT_A_F=DFT_A.*F;
...
But why won't you just (given that A is a 2D matrix, so rgb2gray it if needed):
DFT_A_F = conv2(A,B,'same');
It is faster, because you don't need to multiply all these zeros, and should get you the same result.
Upvotes: 2