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since the adjunct of a matrix is it's determinant, multiplied by the inverse, -- we can just write it like that !

taking the wikipedia example :

Mat_<float> A(3,3); 
A << -3,2,-5,
     -1,0,-2,
      3,-4,1;

Mat A_adj = determinant(A) * A.inv();
cout << A_adj << endl;

output:

[-8, 18, -4;
 -5, 12, -1;
 4, -6, 2]

since the adjunct of a matrix is it's determinant, multiplied by the inverse, -- we can just write it like that !

taking the wikipedia example :

Mat_<float> A(3,3); 
A << -3,2,-5,
     -1,0,-2,
      3,-4,1;

Mat A_adj = determinant(A) * A.inv();
cout << A_adj << endl;

output:

[-8, 18, -4;
 -5, 12, -1;
 4, -6, 2]

if you want to use a grayscale image here, you'll have to convert it to float first:

Mat im = ...
Mat fimg;
img.convertTo(fimg, CV_32F);