In this section, our focus will be on the implementation of the concepts for image derivatives that we have covered in the last couple of sections. In terms of code, this section doesn't really present anything radically different from what we have worked on so far. In the last section, we presented two-dimensional image derivatives within the framework of image filters. All that remains to be done for calculating the derivative is that we implement the filters. And we already know from Chapter 2, Image Filtering that OpenCV's filter2D() function allows us to do exactly that. So without any further ado, let's delve into our code:
#include <iostream> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> using namespace std; using namespace cv;
If you recall our discourse on the filter2D() function, one of the foremost things that...
