i'm trying to enhanced image by gaussian high pass filter but it can't work... can you help me to repair my program? thangkyou before
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
% function GaussianHighPass [m n]=size(image.jpg); f_transform=fft2(image.jpg); f_shift=fftshift(f_transform); x0=m/2; y0=n/2; D0=70; a=12.53; b=-4; for x=1:m; for y=1:n; D=sqrt((x-x0)^2+(y-y0)^2); hpf(x,y)=a*(1-exp(-(D^2)/(2*(D0^2))))+b; end end filter_apply=conv2(image.jpg,hpf,'same'); figure,imshow(filter_apply) image_orignal=ifftshift(filter_apply); image_filter_apply=abs(ifft2(image_orignal)); figure,imshow(image_filter_apply,[])
0 commentaires
Réponse acceptée
Jan
le 16 Août 2013
Modifié(e) : Jan
le 16 Août 2013
As you are using imshow I'm guessing you have the image processing toolbox installed. In that case you might as well use the imfilter() function. The function
fspecial('Gaussian', hsize, sigma )
will generate a Gaussian lowpass filter.
High pass filtering can be achieved by subtracting the low pass filtered from the original image, e.g.
I = imread( 'peppers.png' );
I_filtered = I - imfilter( I, fspecial('Gaussian', 5, 1 ) );
imtool( I_filtered );
If you want to do the filtering explicitly, create the convolution matrix, e.g.
hp_filter_matrix = fspecial('Gaussian', 5, 1);
This gives you a 5 x 5 double matrix that you can convolve with your image to low pass filter it. As before, the high pass filtered representation can be obtained by subtraction.
2 commentaires
Jan
le 16 Août 2013
You are welcome! If that helped, you might want to mark it as 'Accepted Answer'.
Plus de réponses (0)
Voir également
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!