I am new to OpenCV. I am trying to use iterator instead of \"for\" loop, which is too slow for my case. I tried some codes like this:
MatIterator_
You need some kind of counting variable and you will have to declare and update it yourself. A compact way of doing this would be
int i = 0;
for( it = I.begin<uchar>(), end = I.end<uchar>(); it != end; ++it,i++)
{
//some codes here involving i+2 and i+3
}
if you are looking for super fast access however I would recommend manipulating the data pointer yourself. For a great explanation of iterating speed look at OpenCV 2 Computer Vision Application Programming Cookbook on page 51 (65 in pdf). Your code might then look something lik
cv::Mat your_matrix;
//assuming you are using uchar
uchar* data = your_matrix.data();
for(int i = 0; i < some_number; i++)
{
//operations using *data
data++;
}
It's not the for loop which is slow it is the exampleMat.at<int>(i)
which is doing range checking.
To efficently loop over all the pixels you can get a pointer to the data at the start of each row with .ptr()
for(int row = 0; row < img.rows; ++row) {
uchar* p = img.ptr(row);
for(int col = 0; col < img.cols; ++col) {
*p++ //points to each pixel value in turn assuming a CV_8UC1 greyscale image
}
or
for(int col = 0; col < img.cols*3; ++col) {
*p++ //points to each pixel B,G,R value in turn assuming a CV_8UC3 color image
}
}