Gaussian High Pass Filter
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Hello, I try to apply Gaussian High Pass Filter function
a=imread('img'); figure(1) imshow(a) [m n]=size(a); f_transform=fft2(a); f_shift=fftshift(f_transform); p=m/2; q=n/2; d0=70; for i=1:m for j=1:n distance=sqrt((i-p)^2+(j-q)^2); low_filter(i,j)=exp(-(distance)^2/(2*(d0^2))); end end filter_apply=f_shift.*low_filter; image_orignal=ifftshift(filter_apply); image_filter_apply=abs(ifft2(image_orignal)); figure(2) imshow(image_filter_apply,[])
but I got this error
??? Error using ==> times Matrix dimensions must agree.
can someone help me
1 Comment
Accepted Answer
Youssef Khmou
on 27 Jul 2013
Edited: Youssef Khmou
on 27 Jul 2013
hi lina,
I tried your program and it works fine, replace the first command with :
a=im2double(imread('circuit.tif'));
I think the error you get is due to the nature of the sample you use, maybe its RGB image, if so you need to change it to grayscale image or process each channel individually, try this as first attempt :
a=im2double(rgb2gray(imread('img')));
3 Comments
elfrida
on 13 Aug 2013
if format of my picture is .jpg, can I use this program? or I must convert to .tif??? thankyou
Image Analyst
on 13 Aug 2013
No, that has nothing to do with it. No matter what format the image is stored in on disk, once imread gets done with it, it's just a regular array of numbers.
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