How to do inverse on complex matrix in OpenCV?

问题:

I have trouble in doing inverse of a complex matrix. As far as I know, complex matrix is simply a two-channel matrix (CV_32FC2 / CV_64FC2).

Let's say I have a matrix C:

Mat C(2, 2, CV_64FC2);

C.at<Vec2d>(0,0)[0] = 1;
C.at<Vec2d>(0,0)[1] = 1;
C.at<Vec2d>(0,1)[0] = 3;
C.at<Vec2d>(0,1)[1] = 4;
C.at<Vec2d>(1,0)[0] = 2;
C.at<Vec2d>(1,0)[1] = -1;
C.at<Vec2d>(1,1)[0] = 5;
C.at<Vec2d>(1,1)[1] = 2;

Mat InverseMat;
invert(C, InverseMat, DECOMP_SVD);

After I perform the invert function, I keep getting this error:

OpenCV Error: Assertion failed (type == CV_32F || type == CV_64F) in invert

The invert function works well with a grayscale loaded image (1 channel), but I have hard time to do inverse on complex matrix which contains real and imaginary part.

Can someone please tell me how to solve the inverse problem of a complex matrix? Preferably using DECOMP_SVD method, as I can't get desired result using DECOMP_LU or DECOMP_CHOLESKY method when I tried with a single channel image, probably because of the matter of singular matrix. Thanks.

回答1:

OpenCV does not support inversion of complex matrices. You have to manipulate the complex matrix in a way to form a real matrix containing the real and imaginary parts of the complex matrix. This page explains the process.

Here is the code to perform inverse of a complex matrix using the above mentioned process:

//Perform inverse of complex matrix.
cv::Mat invComplex(const cv::Mat& m)
{
    //Create matrix with twice the dimensions of original
    cv::Mat twiceM(m.rows * 2, m.cols * 2, CV_MAKE_TYPE(m.type(), 1));

    //Separate real & imaginary parts
    std::vector<cv::Mat> components;
    cv::split(m, components);

    cv::Mat real = components[0], imag = components[1];

    //Copy values in quadrants of large matrix
    real.copyTo(twiceM({ 0, 0, m.cols, m.rows })); //top-left
    real.copyTo(twiceM({ m.cols, m.rows, m.cols, m.rows })); //bottom-right
    imag.copyTo(twiceM({ m.cols, 0, m.cols, m.rows })); //top-right
    cv::Mat(-imag).copyTo(twiceM({ 0, m.rows, m.cols, m.rows })); //bottom-left

    //Invert the large matrix
    cv::Mat twiceInverse = twiceM.inv();

    cv::Mat inverse(m.cols, m.rows, m.type());

    //Copy back real & imaginary parts
    twiceInverse({ 0, 0, inverse.cols, inverse.rows }).copyTo(real);
    twiceInverse({ inverse.cols, 0, inverse.cols, inverse.rows }).copyTo(imag);

    //Merge real & imaginary parts into complex inverse matrix
    cv::merge(components, inverse);
    return inverse;
}