#include
#include
#include "opencv2/highgui/highgui.hpp"
#include
#include
#include
using namespace std;
using namespace cv;
static CvSubdiv2D* init_delaunay(CvMemStorage* storage,//初始化三角剖分结构,为其分配单元
CvRect rect)
{
CvSubdiv2D* subdiv;//三角剖分的数据单元
subdiv = cvCreateSubdiv2D(CV_SEQ_KIND_SUBDIV2D, sizeof(*subdiv),
sizeof(CvSubdiv2DPoint),
sizeof(CvQuadEdge2D),
storage);
cvInitSubdivDelaunay2D(subdiv, rect);
return subdiv;
}
static void draw_subdiv_point(IplImage* img, CvPoint2D32f fp, CvScalar color)//画出三角剖分的顶点
{
cvCircle(img, cvPoint(cvRound(fp.x), cvRound(fp.y)), 5, color, CV_FILLED, 8, 0);
}
static void draw_subdiv_edge(IplImage* img, CvSubdiv2DEdge edge, CvScalar color)//画出三角剖分的边
{
CvSubdiv2DPoint* org_pt;//源顶点
CvSubdiv2DPoint* dst_pt;//目地顶点
CvPoint2D32f org;
CvPoint2D32f dst;
CvPoint iorg, idst;
org_pt = cvSubdiv2DEdgeOrg(edge);//通过边获取顶点
dst_pt = cvSubdiv2DEdgeDst(edge);
if (org_pt && dst_pt)//如果两个端点不为空
{
org = org_pt->pt;
dst = dst_pt->pt;
iorg = cvPoint(cvRound(org.x), cvRound(org.y));
idst = cvPoint(cvRound(dst.x), cvRound(dst.y));
cvLine(img, iorg, idst, color, 1, CV_AA, 0);
}
}
static void draw_subdiv(IplImage* img, CvSubdiv2D* subdiv,
CvScalar delaunay_color, CvScalar voronoi_color)//画出剖分和细分
{
CvSeqReader reader;
int i, total = subdiv->edges->total;//边的数量
int elem_size = subdiv->edges->elem_size;//边的大小
cout << typeid(subdiv->edges).name() << endl;
cvStartReadSeq((CvSeq*)(subdiv->edges), &reader, 0);//使用CvSeqReader遍历Delaunay或者Voronoi边
for (i = 0; i < total; i++)
{
CvQuadEdge2D* edge = (CvQuadEdge2D*)(reader.ptr);
if (CV_IS_SET_ELEM(edge))
{
// draw_subdiv_edge( img, (CvSubdiv2DEdge)edge + 1, voronoi_color );
draw_subdiv_edge(img, (CvSubdiv2DEdge)edge, delaunay_color);
}
CV_NEXT_SEQ_ELEM(elem_size, reader);
}
}
static void locate_point(CvSubdiv2D* subdiv, CvPoint2D32f fp, IplImage* img,//遍历三角剖分的边
CvScalar active_color)
{
CvSubdiv2DEdge e;
CvSubdiv2DEdge e0 = 0;
CvSubdiv2DPoint* p = 0;
cvSubdiv2DLocate(subdiv, fp, &e0, &p);
if (e0)
{
e = e0;
do
{
draw_subdiv_edge(img, e, active_color);
e = cvSubdiv2DGetEdge(e, CV_NEXT_AROUND_LEFT);
} while (e != e0);
}
draw_subdiv_point(img, fp, active_color);
}
//@author andme-单目视觉
void dashLine(Mat &img, Point2d& pt1, Point2d& pt2, int n)//n为虚线段数
{
Point sub = pt2 - pt1;
for (int i = 0; i < 2 * n; i += 2)
{
line(img, Point(pt1.x + sub.x * i / (2 * n - 1), pt1.y + sub.y * i / (2 * n - 1)), Point(pt1.x + sub.x * (i + 1) / (2 * n - 1), pt1.y + sub.y * (i + 1) / (2 * n - 1)), Scalar(0, 255, 0), 2);
}
}
//调用形式draw_subdiv_facet( img, cvSubdiv2DRotateEdge( e, 1 ));
static void draw_subdiv_facet(IplImage* img, CvSubdiv2DEdge edge)//画出voronoi面
{
//cout<pt.x), cvRound(pt->pt.y));//将该点转换为cvPoint类型点,存储在buf中
t = cvSubdiv2DGetEdge(t, CV_NEXT_AROUND_LEFT);//然后绕着vornonoi单元,左旋转。
}
if (i == count)//如果所有的点都存储起来了。
{
CvSubdiv2DPoint* pt = cvSubdiv2DEdgeDst(cvSubdiv2DRotateEdge(edge, 1));//这里eRot的旋转边缘应该是reversed e,那么目的点,就是e的源点。
// cvFillConvexPoly( img, buf, count, CV_RGB(rand()&255,rand()&255,rand()&255), CV_AA, 0 );//填充凸多边形
for (i = 0; ipt, CV_RGB(0, 0, 0));//用黑色画出画出剖分顶点。
}
free(buf);
}
static void paint_voronoi(CvSubdiv2D* subdiv, IplImage* img)//画出voronoi面
{
CvSeqReader reader;
int i, total = subdiv->edges->total;//边缘总数
int elem_size = subdiv->edges->elem_size;//边缘的大小
cvCalcSubdivVoronoi2D(subdiv);
cvStartReadSeq((CvSeq*)(subdiv->edges), &reader, 0);
for (i = 0; i < total; i++)
{
CvQuadEdge2D* edge = (CvQuadEdge2D*)(reader.ptr);//获取四方边缘
if (CV_IS_SET_ELEM(edge))//判断边缘是否在边缘集中
{
CvSubdiv2DEdge e = (CvSubdiv2DEdge)edge;//edge是四方边缘的指针,而CvSubdiv2DEdge高位表示四方边缘的指针。
//cout<<(e&3)< points;
for (i = 0; i < 5; i++)
{
CvPoint2D32f fp = cvPoint2D32f((float)(rand() % (rect.width - 10)),//使点约束在距离边框10像素之内。
(float)(rand() % (rect.height - 10)));
points.push_back(fp);
locate_point(subdiv, fp, img, active_facet_color);//定位点的位置,并画出点所在delaunay面的边。
cvShowImage(win, img);//刷新显示
/* if (cvWaitKey(100) >= 0)
break;*/
//cvWaitKey(0);
cvSubdivDelaunay2DInsert(subdiv, fp);//向三角剖分中插入该点,即对该点进行三角剖分
cvCalcSubdivVoronoi2D(subdiv);//计算Voronoi细分,有时候我们不需要
cvSet(img, bkgnd_color, 0);//设置图像的背景颜色为白色
draw_subdiv(img, subdiv, delaunay_color, voronoi_color);
cvShowImage(win, img);
//cvWaitKey();
/*if (cvWaitKey(100) >= 0)
break;*/
//cvWaitKey(0);
}
for (int i = 0; i