OpenCV并使用傅立叶变换dft（）

Question

I am trying to point-wise multiply fourier transforms of two separate images and then convert back to a normal image. I'm not very familiar with using the fourier transform in OpenCV but this is what I have at the moment. The last line where the output is shown causes an exception of type 'System.Runtime.InteropServices.SEHException' but I can't figure out how to fix it. I have tried various different parameters and functions at each stage but all seem either give an exception or an empty output. What am I doing wrong? Thanks for any help you can give me!

Mat dftInput1, dftImage1, dftInput2, dftImage2, multipliedDFT, inverseDFT, inverseDFTconverted;

image1.convertTo(dftInput1, CV_32F);
dft(dftInput1, dftImage1, DFT_COMPLEX_OUTPUT);
image2.convertTo(dftInput2, CV_32F);
dft(dftInput2, dftImage2, DFT_COMPLEX_OUTPUT);

multiply(dftImage1, dftImage2, multipliedDFT);

idft(multipliedDFT, inverseDFT, DFT_SCALE);
inverseDFT.convertTo(inverseDFTconverted, CV_8U);
imshow("Output", inverseDFTconverted);

Answer 1

imshow can't show 2 channel images, only 1,3,4 channel ones.

if you use DFT_COMPLEX_OUTPUT for the dft, you get a 2 channel image, applying the reverse idft again produces a 2channel(complex) Mat

no idea, why you get a 'System.Runtime.InteropServices.SEHException' though ( is that 'managed c++' ? )

convertTo() changes the type of the channels, but not their count (yea, surprise).

so, either restrict it to the real part:

 idft(multipliedDFT, inverseDFT, CV_DFT_SCALE | CV_DFT_REAL_OUTPUT );

or split it , and throw only the real part at imshow:

Mat chan[2];
split( inverseDFTconverted, chan );
imshow("lalala", chan[0]);