I am a beginner in MATLAB and am following this code from GitHub related to the classification of lung cancer.
When I use the sample image in the GitHub link it works fine but when I try to use a different image from the database mentioned on GitHub I am getting the following error.
Unable to perform assignment because the size of the left side is 512-by-512 and the size of the right side is 512-by-512-by-3.
Error in lung (line 16)
img_out(:,:,n) = imfilter(img_in, gb, 'symmetric');
Here is the area of code where the error lies
%% Preprocessing using gabor filter for image enhancement
lambda = 9;
theta = 0;
bw = 3;
psi = [0 0];
gamma = 2;
N = 4;
img_in = imread('b.bmp');
%img_in = double(dicomread('b.dcm'));
%img_in(:,:,2:3) = [];
img_out = zeros(size(img_in,1), size(img_in,2), N);
for n=1:N
gb = gabor_fn(bw,gamma,psi(1),lambda,theta)...
+ gabor_fn(bw,gamma,psi(2),lambda,theta);
img_out(:,:,n) = imfilter(img_in, gb, 'symmetric');
theta = theta + pi/4;
end
figure(1);
imshow(img_in);
title('input image');
figure(2);
img_out_disp = sum(abs(img_out).^2, 3).^0.5;
img_out_disp = img_out_disp./max(img_out_disp(:));
imshow(img_out_disp);
title('gabor output, L-2 super-imposed, normalized');
I also checked the import wizard and there is definitely something different about the sample image on GitHub and the .dcm image I download and then convert to .bmp.
The output of
img_in = imread('b.bmp');
is a 512x512x3 RGB image. You filter this RGB byimfilter()
and return an object of the same size. You are then trying to to assign this to a single 512x512 slice of your 512x512x4 img_out array.If the .dcm image is grayscale you should use
rgb2gray()
to change the size ofimg_in
to a single 512x512 slice.