I am currently reading this book. The author wrote a code snippet on page 83 in order to (if i understand it correctly) calculate the element-wise power of two matrices. But i think the code doesn't fulfill its purpose because the matrix dst
does not contain the element-wise power after the execution.
Here is the original code:
const Mat* arrays[] = { src1, src2, dst, 0 };
float* ptrs[3];
NAryMatIterator it(arrays, (uchar**)ptrs);
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
for( size_t j = 0; j < it.size; j++ )
{
ptrs[2][j] = std::pow(ptrs[0][j], ptrs[1][j]);
}
}
Since the parameter of the constructor or cv::NAryMatIterator
is const cv::Mat **
, i think change of values in the matrix dst
is not allowed.
I tried to assign ptrs[2][j]
back in dst
but failed to get the correct indices of dst
. My questions are as follows:
A .^ B
in Matlab?cv::NAryMatIterator
to achieve this goal? If no, then what is the most efficient way to implement it?You can get this working by converting the src1
, src2
and dst
to float (CV_32F)
type matrices. This is because the code treats them that way in float* ptrs[3];
.
An alternative implementation using opencv
functions log
, multiply
and exp
is given at the end.
As an example for your 2nd question,
Mat src1 = (Mat_<int>(3, 3) <<
1, 2, 3,
4, 5, 6,
7, 8, 9);
Mat src2 = (Mat_<uchar>(3, 3) <<
1, 2, 3,
1, 2, 3,
1, 2, 3);
Mat dst = (Mat_<float>(3, 3) <<
1, 2, 3,
4, 5, 6,
7, 8, 9);
src1.convertTo(src1, CV_32F);
src2.convertTo(src2, CV_32F);
cout << "before\n";
cout << dst << endl;
const Mat* arrays[] = { &src1, &src2, &dst, 0 };
float* ptrs[3];
NAryMatIterator it(arrays, (uchar**)ptrs);
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
for( size_t j = 0; j < it.size; j++ )
{
ptrs[2][j] = std::pow(ptrs[0][j], ptrs[1][j]);
}
}
cout << "after\n";
cout << dst << endl;
outputs
before
[1, 2, 3;
4, 5, 6;
7, 8, 9]
after
[1, 4, 27;
4, 25, 216;
7, 64, 729]
If you remove the src1.convertTo(src1, CV_32F);
or src2.convertTo(src2, CV_32F);
, you won't get the desired result. Try it.
If this is a separate function, don't place the convertTo
within the function, as it modifies the image representation, that could affect later operations. Instead, use convertTo
on temporary Mats, like
Mat src132f, src232f, dst32f;
src1.convertTo(src132f, CV_32F);
src2.convertTo(src132f, CV_32F);
dst.convertTo(dst32f, CV_32F);
pow_mat(&src132f, &src232f, &dst32f); /* or whatever the name */
As for your first question, I'm not aware of such function. But you can try something like
Mat tmp;
cv::log(src1, tmp);
cv::multiply(src2, tmp, dst);
cv::exp(dst, dst);
using the relation that c = a^b
is equivalent to c = e^(b.ln(a))
. Here, the matrices should have type 32F
or 64F
. This produces
[1, 4, 27.000002;
4, 25.000002, 216.00002;
6.9999995, 64, 729.00006]
for the example above.