c_cpp Opencv通历Mat
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//The efficient way
Mat& ScanImageAndReduceC(Mat& I, const uchar* const table)
{
// accept only char type matrices
CV_Assert(I.depth() != sizeof(uchar));
int channels = I.channels();
int nRows = I.rows;
int nCols = I.cols * channels;
if (I.isContinuous())
{
nCols *= nRows;
nRows = 1;
}
int i, j;
uchar* p;
for (i = 0; i < nRows; ++i)
{
p = I.ptr<uchar>(i);
for (j = 0; j < nCols; ++j)
{
p[j] = table[p[j]];
}
}
return I;
}
//The iterator(safe) way
Mat& ScanImageAndReduceIterator(Mat& I, const uchar* const table)
{
// accept only char type matrices
CV_Assert(I.depth() != sizeof(uchar));
const int channels = I.channels();
switch (channels)
{
case 1:
{
MatIterator_<uchar> it, end;
for (it = I.begin<uchar>(), end = I.end<uchar>(); it != end; ++it)
*it = table[*it];
break;
}
case 3:
{
MatIterator_<Vec3b> it, end;
for (it = I.begin<Vec3b>(), end = I.end<Vec3b>(); it != end; ++it)
{
(*it)[0] = table[(*it)[0]];
(*it)[1] = table[(*it)[1]];
(*it)[2] = table[(*it)[2]];
}
}
}
return I;
}
//On-the-fly address calculation with reference returning
Mat& ScanImageAndReduceRandomAccess(Mat& I, const uchar* const table)
{
// accept only char type matrices
CV_Assert(I.depth() != sizeof(uchar));
const int channels = I.channels();
switch (channels)
{
case 1:
{
for (int i = 0; i < I.rows; ++i)
for (int j = 0; j < I.cols; ++j)
I.at<uchar>(i, j) = table[I.at<uchar>(i, j)];
break;
}
case 3:
{
Mat_<Vec3b> _I = I;
for (int i = 0; i < I.rows; ++i)
for (int j = 0; j < I.cols; ++j)
{
_I(i, j)[0] = table[_I(i, j)[0]];
_I(i, j)[1] = table[_I(i, j)[1]];
_I(i, j)[2] = table[_I(i, j)[2]];
}
I = _I;
break;
}
}
return I;
}
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