opencv 分水嶺演算法區域的分割和合併

使用直方圖相似性合併相似區域

#include#include#include#include#include#includeusing namespace std;

using namespace cv;
mat display(mat& markers, int noofsegment)
mat watershedimage(markers.size(), cv_8uc3);
for (int i = 0; i < markers.rows; i++) }
return watershedimage;
}//分水嶺影象分割
mat watershedsrgment(mat src, int& noofsegment)//noofsegment表示分割的類別數
imshow("markers", markers * 255);
double t = (double)gettickcount();
watershed(src, markers);
t = (double)gettickcount() - t;
cout << "time: " << t * 1000 / gettickfrequency() << endl;
mat wash = display(markers, compcount);
imshow("watershedsrgment", wash);
noofsegment = compcount;
waitkey(0);
return markers;
}//分水嶺影象合併
void segmerge(mat src, mat& segments, int& numseg)
//計算每個畫素的歸屬
for (int i = 0; i < segments.rows; i++) }
//建立直方圖
vectorhist_bases;
mat hsv_base;
int h_bins = 35;
int s_bins = 30;
int hist_size = ;
float h_ranges = ;
float s_ranges = ;
const float* ranges = ;
int channels = ;
ma*** hist_base;
for (int i = 0; i <= numseg; i++)
else
hist_bases.push_back(mat());
hist_base.release();
} //計算各直方圖之間的相似性
double similarity = 0;
vectormerged;
for (int k = 0; k < hist_bases.size(); k++)
for (int c = 0; c < hist_bases.size(); c++)}}
}}
}} }
numseg = newnumseg;
mat wash=display(segments, numseg);
imshow("segmerge", wash);
waitkey(0);
}int main()

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