OpenCV中Delaunay三角网算法例子

#include <opencv2/opencv.hpp>
#include <vector>

using namespace cv;
using namespace std;

typedef struct _TRIANGLE_DESC_
{
	Point pt1, pt2, pt3;
	_TRIANGLE_DESC_(const Point _pt1, const Point _pt2, const Point _pt3):
		pt1(_pt1), pt2(_pt2), pt3(_pt3){}
}TRIANGLE_DESC;

vector<TRIANGLE_DESC> delaunayAlgorithm(const Rect boundRc,const vector<Point>& points)
{
	if (points.empty())
	{
		return vector<TRIANGLE_DESC>();
	}
	vector<TRIANGLE_DESC> result;

	vector<Vec6f> _temp_result;
	Subdiv2D subdiv2d(boundRc);
	for (const auto point : points)
	{
		subdiv2d.insert(Point2f((float)point.x, (float)point.y));
	}	
	subdiv2d.getTriangleList(_temp_result);

	for (const auto _tmp_vec : _temp_result)
	{
		Point pt1((int)_tmp_vec[0], (int)_tmp_vec[1]);
		Point pt2((int)_tmp_vec[2], (int)_tmp_vec[3]);
		Point pt3((int)_tmp_vec[4], (int)_tmp_vec[5]);
		result.push_back(TRIANGLE_DESC(pt1, pt2, pt3));
	}
	return result;
}

int main(int argc, char* argv[])
{
	const int width = 400;
	const int height = 400;
	Mat srcImg(height, width, CV_8UC3, Scalar(255,255,255));
	const vector<Point> testPoints = {
		Point(23, 45), Point(243, 145), Point(308, 25),
		Point(180, 230), Point(343, 145), Point(108, 25)
	};
	for (const auto point : testPoints)
	{
		circle(srcImg, point, 1, Scalar(0), 2);
	}

	//
	const Rect pageRc(0, 0, width, height);
	const auto triangles = delaunayAlgorithm(pageRc,testPoints);
	for (const auto triangle : triangles)
	{
		line(srcImg, triangle.pt1, triangle.pt2, Scalar(255, 0, 0));
		line(srcImg, triangle.pt1, triangle.pt3, Scalar(255, 0, 0));
		line(srcImg, triangle.pt2, triangle.pt3, Scalar(255, 0, 0));
	}
	imshow("src", srcImg);
	waitKey(0);

	return 0;
}

  

posted @ 2015-01-12 14:38  *神气*  阅读(3962)  评论(0编辑  收藏  举报