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fast_marching_inl.hpp
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42
43 #ifndef OPENCV_VIDEOSTAB_FAST_MARCHING_INL_HPP
44 #define OPENCV_VIDEOSTAB_FAST_MARCHING_INL_HPP
45
46 #include "opencv2/videostab/fast_marching.hpp"
47
48 namespace cv
49{
50 namespace videostab
51{
52
53 template <typename Inpaint>
54 Inpaint FastMarchingMethod::run(const cv::Mat &mask, Inpaint inpaint)
55{
56 using namespace cv;
57
58 CV_Assert(mask.type() == CV_8U);
59
60 static const int lut[4][2] = {{-1,0}, {0,-1}, {1,0}, {0,1}};
61
62 mask.copyTo(flag_);
63 flag_.create(mask.size());
64 dist_.create(mask.size());
65 index_.create(mask.size());
66 narrowBand_.clear();
67 size_ = 0;
68
69 // init
70 for (int y = 0; y < flag_.rows; ++y)
71 {
72 for (int x = 0; x < flag_.cols; ++x)
73 {
74 if (flag_(y,x) == KNOWN)
75 dist_(y,x) = 0.f;
76 else
77 {
78 int n = 0;
79 int nunknown = 0;
80
81 for (int i = 0; i < 4; ++i)
82 {
83 int xn = x + lut[i][0];
84 int yn = y + lut[i][1];
85
86 if (xn >= 0 && xn < flag_.cols && yn >= 0 && yn < flag_.rows)
87 {
88 n++;
89 if (flag_(yn,xn) != KNOWN)
90 nunknown++;
91 }
92 }
93
94 if (n>0 && nunknown == n)
95 {
96 dist_(y,x) = inf_;
97 flag_(y,x) = INSIDE;
98 }
99 else
100 {
101 dist_(y,x) = 0.f;
102 flag_(y,x) = BAND;
103 inpaint(x, y);
104
105 narrowBand_.push_back(DXY(0.f,x,y));
106 index_(y,x) = size_++;
107 }
108 }
109 }
110 }
111
112 // make heap
113 for (int i = size_/2-1; i >= 0; --i)
114 heapDown(i);
115
116 // main cycle
117 while (size_ > 0)
118 {
119 int x = narrowBand_[0].x;
120 int y = narrowBand_[0].y;
121 heapRemoveMin();
122
123 flag_(y,x) = KNOWN;
124 for (int n = 0; n < 4; ++n)
125 {
126 int xn = x + lut[n][0];
127 int yn = y + lut[n][1];
128
129 if (xn >= 0 && xn < flag_.cols && yn >= 0 && yn < flag_.rows && flag_(yn,xn) != KNOWN)
130 {
131 dist_(yn,xn) = std::min(std::min(solve(xn-1, yn, xn, yn-1), solve(xn+1, yn, xn, yn-1)),
132 std::min(solve(xn-1, yn, xn, yn+1), solve(xn+1, yn, xn, yn+1)));
133
134 if (flag_(yn,xn) == INSIDE)
135 {
136 flag_(yn,xn) = BAND;
137 inpaint(xn, yn);
138 heapAdd(DXY(dist_(yn,xn),xn,yn));
139 }
140 else
141 {
142 int i = index_(yn,xn);
143 if (dist_(yn,xn) < narrowBand_[i].dist)
144 {
145 narrowBand_[i].dist = dist_(yn,xn);
146 heapUp(i);
147 }
148 // works better if it's commented out
149 /*else if (dist(yn,xn) > narrowBand[i].dist)
150 {
151 narrowBand[i].dist = dist(yn,xn);
152 heapDown(i);
153 }*/
154 }
155 }
156 }
157 }
158
159 return inpaint;
160}
161
162} // namespace videostab
163} // namespace cv
164
165 #endif
n-dimensional dense array class
Definition: mat.hpp:802
Inpaint run(const Mat &mask, Inpaint inpaint)
Template method that runs the Fast Marching Method.
Definition: fast_marching_inl.hpp:54
CV_EXPORTS_W void min(InputArray src1, InputArray src2, OutputArray dst)
Calculates per-element minimum of two arrays or an array and a scalar.
#define CV_Assert(expr)
Checks a condition at runtime and throws exception if it fails
Definition: base.hpp:342
CV_EXPORTS_W void inpaint(InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags)
Restores the selected region in an image using the region neighborhood.
cv
"black box" representation of the file storage associated with a file on disk.
Definition: aruco.hpp:75