I read this doc here http://docs.opencv.org/2.4/doc/tutorials/core/mat_the_basic_image_container/mat_the_basic_image_container.html that teaches me how I can efficiently scan an image.
Mat& ScanImageAndReduceC(Mat& I, const uchar* const table)
{
// accept only char type matrices
CV_Assert(I.depth() == CV_8U);
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;
}
What if as input I have an additional vector of Mat and I am trying to copy the value of an element from Mat angle to a certain Mat angle_ii depending on the value is has ? In the code below, am I forced to create multiple angle_ii_row so that each variable points to each Mat of angle_ii ?
void construct_ii( cv::Mat& angle, std::vector<cv::Mat>& angle_ii)
{
int rows = angle.rows;
int cols = angle.cols;
if (angle.isContinuous())
{
cols *= rows;
rows = 1;
}
for (int i = 0; i < angle.rows; i++)
{
float* angle_row = angle.ptr<float>(i);
float** angle_ii_row = angle_ii.ptr<float>(i); // wrong
for (int j = 0; j < angle.rows; j++)
{
float angle_temp = angle_row[j];
int which = floor(angle_temp/20);
switch (which)
{
case 0 : angle_ii[0].at<float>(row,col) = angle_temp; // also wrong
}
}
}
}