I'm trying to implement the fourier transformation in frequency domain.
I used getOptimalDFTSize accordingly, and I copied the image and mask, in bigger images, suitable for fourier transformation. I used the sample code from here as a reference.
Now, I have to separate the real and imaginary part, and to perform pixelwise multiplication of the image imaginary part with the mask imaginary part, and the same for the real part.But when I try to do so, I get the following error message:
OpenCV Error: Assertion failed (type == srcB.type() && srcA.size() == srcB.size()) in mulSpectrums, file /build/buildd/opencv-2.1.0/src/cxcore/cxdxt.cpp, line 1855 /build/buildd/opencv-2.1.0/src/cxcore/cxdxt.cpp:1855: error: (-215) type == srcB.type() && srcA.size() == srcB.size() in function mulSpectrums
The code is following:
//fourier transfromation of real and imaginary part
Mat complex_image, real_image, complex_mask, real_mask;
cv::dft(new_image, complex_image, DFT_COMPLEX_OUTPUT);
cv::dft(new_image, real_image, DFT_REAL_OUTPUT);
cv::dft(new_mask, complex_mask, DFT_COMPLEX_OUTPUT);
cv::dft(new_mask, real_mask, DFT_REAL_OUTPUT);
//pixelwise multiplication
Mat multiplied_complex, multiplied_real;
cv::mulSpectrums(complex_image, complex_mask, multiplied_complex, DFT_COMPLEX_OUTPUT );
cv::mulSpectrums(real_image, real_mask, multiplied_real, DFT_REAL_OUTPUT);
What am I doing wrong here?
