Fourier transform for image data set

Hello everyone

I'm writing a code for image dataset that has 1 main folder and 10 subfolders within, and I want to apply fourier transform to all images in these folders,

I wrote this code below but I can't find a way to access all 10 subfolders, and convert the images using (for loop).

This code gives me an error (MAP must be a m x 3 array) in (I = rgb2gray(I);) because of the size of (I).

can you please help me with this ?

code:

clc;

clear all;

img = dir('C:\AppliedProj\Train\0\*.jpg');

Images_num = length(img);

for i = 1:Images_num

fname = strcat('C:\AppliedProj\Train\0\', img(i).name);

I = imread(fname);

I = rgb2gray(I);

%Get Fourier Transform of an image

F = fft2(I);

% Fourier transform of an image

S = abs(F);

%get the centered spectrum

Fsh = fftshift(F);

%apply log transform

S2 = log(1+abs(Fsh));

%reconstruct the Image

F = ifftshift(Fsh);

f = ifft2(F);

path = strcat('C:\AppliedProj\New\0\', img(i).name);

imwrite(f,path);

end

Best regars

Answer 1

[KALYAN ACHARJYA]

"This code gives me an error (MAP must be a m x 3 array) in (I = rgb2gray(I);) because of the size of (I)."

May be you are using Gray Scale Images, if yes then remove the rgb2gray assignmnet line and rest code will be same.

[Mohamed Ahmed]

Yes, I need to convert it first to gray scale then apply the fourier transform,

I tried it with the (rgb2gray) function it worked but the resulting image was distorted

[Mohamed Ahmed]

*without