How to find power spectral density of an image?

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Image Analyst
Image Analyst le 15 Août 2017

1 vote

Use fft2() and then take the magnitude of the resulting image.

2 commentaires

i also find the same problem to obtain PSD in image processing. currently, i'm using gabor wavelet as feature extraction method and already got the magnitude response from gabor equation.i plan to obtain PSD as a feature from magnitude response gabor, however it indicates error.
the error is Error using fft2 Too many output arguments
Coding as below:
gbreal= exp(-.5*(x_theta.^2/sigma_x^2+y_theta.^2/sigma_y^2)).*cos(2*pi/lambda*x_theta+psi);
gbimaginary= exp(-.5*(x_theta.^2/sigma_x^2+y_theta.^2/sigma_y^2)).*sin(2*pi/lambda*x_theta+psi);
title('filtered image');
imagesc(gbreal);
response_real= conv2(Bearing,gbreal); %Output of filter
imagesc(response_real);
Magnituderesponse_real = abs(response_real);
[t,n] = fft2(Magnituderesponse_real);
Read this http://www.mathworks.com/matlabcentral/answers/13205#answer_18099 then fix the formatting while you're also including the complete error message with the line number and code of the offending line, and provide code for the variables needed in computing gbreal. You can read this and then post a brand new discussion/question, unless you need Prashant's input or want to inform him of your needs.

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