I'm trying to code a FFT/IFFT function with FFTW 3.3 and OpenCV 2.1 using the C++ interface. I've seen a lot of examples using the old OpenCV formats and I did a direct conversion, but something doesn't work.
The objective of my function is to return a Mat object with the real part and the imaginary part of the FFT, like dft default OpenCV function does. Here is the code of the function. Program gets blocked with memory problem in the lines that copy im_data to data_in.
Does somebody know what am I doing wrong? Thank you
Mat fft_sr(Mat& I)
{
double *im_data;
double *realP_data;
double *imP_data;
fftw_complex *data_in;
fftw_complex *fft;
fftw_plan plan_f;
int width = I.cols;
int height = I.rows;
int step = I.step;
int i, j, k;
Mat realP=Mat::zeros(height,width,CV_64F); // Real Part FFT
Mat imP=Mat::zeros(height,width,CV_64F); // Imaginary Part FFT
im_data = ( double* ) I.data;
realP_data = ( double* ) realP.data;
imP_data = ( double* ) imP.data;
data_in = ( fftw_complex* )fftw_malloc( sizeof( fftw_complex ) * width * height );
fft = ( fftw_complex* )fftw_malloc( sizeof( fftw_complex ) * width * height );
// Problem Here
for( i = 0, k = 0 ; i < height ; i++ ) {
for( j = 0 ; j < width ; j++ ) {
data_in[k][0] = ( double )im_data[i * step + j];
data_in[k][1] = ( double )0.0;
k++;
}
}
plan_f = fftw_plan_dft_2d( height, width, data_in, fft, FFTW_FORWARD, FFTW_ESTIMATE );
fftw_execute( plan_f );
// Copy real and imaginary data
for( i = 0, k = 0 ; i < height ; i++ ) {
for( j = 0 ; j < width ; j++ ) {
realP_data[i * step + j] = ( double )fft[k][0];
imP_data[i * step + j] = ( double )fft[k][1];
k++;
}
}
Mat fft_I(I.size(),CV_64FC2);
Mat fftplanes[] = {Mat_<double>(realP), Mat_<double>(imP)};
merge(fftplanes, 2, fft_I);
fftw_destroy_plan(plan_f);
fftw_free(data_in);
fftw_free(fft);
return fft_I;
}
step
set to? What exactly means "Problem Here"? What happens when you add the linestd:cout << i << "/" << j << std::endl;
to the body of the inner loop of the nested loop struct producing the problem? – Good Night Nerd Pride