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glBufferData(GL_ARRAY_BUFFER, 3 * openGLBuffer.vcnt*sizeof(double), vertexs.data(), GL_STATIC_DRAW);
vertexs.data()里面是一系列顶点const static Scalar colors[15]={
CV_RGB( 0, 0,128),
CV_RGB( 0,128, 0),
CV_RGB( 0,128,128),
CV_RGB(128, 0, 0),
CV_RGB(128, 0,128),
CV_RGB(128,128, 0),
CV_RGB(128,128,128),
CV_RGB(160,160,160),
CV_RGB( 0, 0,255),
CV_RGB( 0,255, 0),
CV_RGB( 0,255,255),
CV_RGB(255, 0, 0),
CV_RGB(255, 0,255),
CV_RGB(255,255, 0),
CV_RGB(255,255,255),
};
Scalar color;
vector<Vec4i> hierarchy;
vector<vector<Point> > contours;
Mat bw;
int idx,n;
Rect maxrect,brect;
Mat smallImg(600,600,CV_8UC1);
cvNamedWindow("display",1);
findContours(bw,contours,hierarchy,RETR_EXTERNAL,CHAIN_APPROX_SIMPLE);
if (!contours.empty()&&!hierarchy.empty()) {
idx=0;
n=0;
vector<Point> approx;
for (;idx>=0;idx=hierarchy[idx][0]) {
color=colors[idx%15];
drawContours(smallImg,contours,idx,color,1,8,hierarchy);
approxPolyDP(Mat(contours[idx]), approx, arcLength(Mat(contours[idx]), true)*0.005, true);//0.005为将毛边拉直的系数
const Point* p = &approx[0];
int m=(int)approx.size();
polylines(smallImg, &p, &m, 1, true, color);
circle(smallImg,Point(p[0].x,p[0].y),2,color);
circle(smallImg,Point(p[1].x,p[1].y),1,color);
n++;
if (1==n) {
maxrect=boundingRect(Mat(contours[idx]));
} else {
brect=boundingRect(Mat(contours[idx]));
CvRect mr(maxrect),br(brect);
maxrect=cvMaxRect(&mr,&br);
}
}
circle(smallImg,Point(maxrect.x+maxrect.width/2,maxrect.y+maxrect.height/2),2,CV_RGB(255,0,0));
}
imshow("display",smallImg);
waitKey(0);
cvDestroyWindow("display");
cv::Mat img = cv::imread(ImgfileName, 1);
if (img.empty())
{
return;
}
cv::Mat contoursImg;
cv::cvtColor(img, contoursImg, CV_BGR2GRAY);
cv::threshold(contoursImg, contoursImg, 1, 255, CV_THRESH_BINARY);
cv::Mat kernle = (cv::Mat_<uchar>(3, 3) << 1, 1, 1, 1, 1, 1, 1, 1, 1);
cv::morphologyEx(contoursImg, contoursImg, CV_MOP_OPEN, kernle, cv::Point(-1, -1), 3);
CvMemStorage* mem_storage = cvCreateMemStorage(0);
CvSeq *first_contour = NULL, *c = NULL;
cvFindContours(&contoursImg.operator IplImage(), mem_storage, &first_contour,sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
std::vector<std::vector<cv::Point>> subcontours;
该如何得到每个contours的三维点坐标呀Mat img = imread("filename.bmp");
for( int y = 0; y < img.rows; y++ )
{
for( int x = 0; x < img.cols; x++ )
{
Vec3d a3dpoint = img.at<Vec3b>(y,x);
}
}