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#ifndef __OPENCV_VIDEOSTAB_FAST_MARCHING_HPP__
#define __OPENCV_VIDEOSTAB_FAST_MARCHING_HPP__
#include <cmath>
#include <queue>
#include <algorithm>
#include "opencv2/core.hpp"
namespace cv
{
namespace videostab
{
//! @addtogroup videostab_marching
//! @{
/** @brief Describes the Fast Marching Method implementation.
See http://iwi.eldoc.ub.rug.nl/FILES/root/2004/JGraphToolsTelea/2004JGraphToolsTelea.pdf
*/
class CV_EXPORTS FastMarchingMethod
{
public:
FastMarchingMethod() : inf_(1e6f) {}
/** @brief Template method that runs the Fast Marching Method.
@param mask Image mask. 0 value indicates that the pixel value must be inpainted, 255 indicates
that the pixel value is known, other values aren't acceptable.
@param inpaint Inpainting functor that overloads void operator ()(int x, int y).
@return Inpainting functor.
*/
template <typename Inpaint>
Inpaint run(const Mat &mask, Inpaint inpaint);
/**
@return Distance map that's created during working of the method.
*/
Mat distanceMap() const { return dist_; }
private:
enum { INSIDE = 0, BAND = 1, KNOWN = 255 };
struct DXY
{
float dist;
int x, y;
DXY() : dist(0), x(0), y(0) {}
DXY(float _dist, int _x, int _y) : dist(_dist), x(_x), y(_y) {}
bool operator <(const DXY &dxy) const { return dist < dxy.dist; }
};
float solve(int x1, int y1, int x2, int y2) const;
int& indexOf(const DXY &dxy) { return index_(dxy.y, dxy.x); }
void heapUp(int idx);
void heapDown(int idx);
void heapAdd(const DXY &dxy);
void heapRemoveMin();
float inf_;
cv::Mat_<uchar> flag_; // flag map
cv::Mat_<float> dist_; // distance map
cv::Mat_<int> index_; // index of point in the narrow band
std::vector<DXY> narrowBand_; // narrow band heap
int size_; // narrow band size
};
//! @}
} // namespace videostab
} // namespace cv
#include "fast_marching_inl.hpp"
#endif