Frequency filtering for pattern matching
I am trying to perform a pattern matching. I am stuck at doing frequency filtering when i try to multiply my image and my mask. Both of my image and my mask are suppose to be in the fourier space while I multiply them. Can you help me to solve this problem. Thanks I find the step in this website: https://homepages.inf.ed.ac.uk/rbf/HI...
Mat planes[] = {Mat_<float>(roi), Mat::zeros(roi.size(), CV_32F)}; //roi is my mask
Mat complexI;
merge(planes, 2, complexI);
dft(complexI, complexI, DFT_COMPLEX_OUTPUT);
Mat planes2[] = {Mat_<float>(imgCanny), Mat::zeros(imgCanny.size(), CV_32F)}; //imgCanny is my image
Mat complexP; //Complex plane to contain the DFT coefficients {[0]-Real,[1]-Img}
merge(planes2, 2, complexP);
dft(complexP, complexP); // Applying DFT
Mat complexA;
complexA = complexP * complexI;
this is written in C++