图像显示： opencv2：在main一开头声明窗口：cvNamedWindow，后面用cvShowImage函数显示 opencv3：imshow全部搞定。...当然，cvNamedWindow也有它到代替品：namedWindow(); 控制帧率 opencv2：cvWaitKey opencv3：waitKey 释放保存图像信息到结构体 opencv2：cvReleaseCapture...include #include using namespace cv; int main(int argc, char *argv[]) { cvNamedWindow
else { p_one_channel[x] = 0; } //ptr[3*x]= //ptr[3*x+1]= //ptr[3*x+2]=; } } cvNamedWindow...=0) { //src = binary_image(src); cvNamedWindow( "binary image left", 1 ); cvShowImage( "binary...image left", binary_image(src_left) ); src_right = cvLoadImage(str_name_right.c_str(),1); cvNamedWindow...endl; cout<<xy_right.y<<endl; cvCircle(draw,cvPoint(xy_left.x,xy_left.y),3,CV_RGB(0,0,255),5); cvNamedWindow
roi=cvCloneImage(source); cvResetImageROI(source); Th = otsu(roi,bw); printf(“Th=%d\n”,Th); cvNamedWindow...( “Resource”, 1 ); cvShowImage( “Resource”, source ); cvNamedWindow( “Result”, 1 ); cvShowImage...( “Result”, roi); cvNamedWindow( “BW”, 1 ); cvShowImage( “BW”, bw); cvWaitKey(0); return 0;...( “Resource”, 1 ); cvShowImage( “Resource”, source ); cvNamedWindow( “Result”, 1 ); cvShowImage...( “Result”, roi); cvNamedWindow( “BW”, 1 ); cvShowImage( “BW”, bw); cvWaitKey(0); return 0;
://blog.csdn.net/moc062066" ; IplImage* pImage = cvLoadImage(filename,CV_LOAD_IMAGE_COLOR) ; cvNamedWindow...IplImage指针 IplImage* pFrame = NULL; //获取摄像头 CvCapture* pCapture = cvCreateCameraCapture(-1); //创建窗体 cvNamedWindow
=0) { //src = binary_image(src); cvNamedWindow( "binary image", 1 ); cvShowImage( "binary image...; cout<<xy.x<<endl; cout<<xy.y<<endl; cvCircle(draw,cvPoint(xy.x,xy.y),3,CV_RGB(0,0,255),5); cvNamedWindow
CvInvoke.cvGetCaptureProperty(CatchFrame, Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FPS); 27 28 CvInvoke.cvNamedWindow...("source"); 29 CvInvoke.cvNamedWindow("Out"); 30 cvMoveWindow("source", 0, 0)...FrameImg; 17 Emgu.CV.VideoSurveillance.BGStatModel bg = null; 18 CvInvoke.cvNamedWindow...("bg"); 19 CvInvoke.cvNamedWindow("fg"); 20 CvInvoke.cvNamedWindow("source");
读取视频文件 IplImage *frame; CvCapture *capture =cvCaptureFromAVI("1.avi");//获取视频数据 cvNamedWindow...//摄像头操作 IplImage *frame; CvCapture *capture = cvCaptureFromCAM(1);//捕获摄像头数据0--笔记本自带摄像头 1--外部摄像头 cvNamedWindow...实验结果1 //读取视频文件 IplImage *frame; CvCapture *capture = cvCaptureFromAVI("1.avi");//获取视频数据 cvNamedWindow
iostream" using namespace std; int main() { IplImage* interest_img=cvLoadImage("C:\\horse.jpg"); cvNamedWindow...interest_rect.x*interest_img->nChannels; cvAddS(sub_img,cvScalar(200),sub_img); cvNamedWindow
\n\n"); } IplImage* frame; cvNamedWindow("摄像机帧截取窗口",1); printf("按“C”键截取当前帧并保存为标定图片......\n\n"; break; } } cvReleaseImage(&frame); cvDestroyWindow("摄像机帧截取窗口"); IplImage * show; cvNamedWindow...\n\n"; cvNamedWindow("RePlay",1); cvShowImage("RePlay",show); cvWaitKey(0); }else{ cout<<"第"<<a<<"帧图像成功获得...\n"; cvNamedWindow("RePlay",1); IplImage * gray_image= cvCreateImage(cvGetSize(show),8,1); cvCvtColor...("原始图像",1); cvNamedWindow("非畸变图像",1); cout<<"按‘E’键退出显示...
#include int main(int argc, char** argv){ IplImage* img= cvLoadImage ("晓月.jpg"); cvNamedWindow...然后就是cvNamedWindow，注意是Name d Window!中间有个d，漏掉这个当然就是错的。...详细情况后面的文章会有介绍 二、播放AVI视频 #include #include int main( int argc, char ** argv){ cvNamedWindow...窗口定义函数 函数 cvNamedWindow定义一个窗口，用于显示图像。...其函数原型如下： int cvNamedWindow( const char* name, unsigned long flags ); 其中，name是窗口名，flags是窗口属性指标值，可以选择CV_WINDOW_AUTOSIZE
300; box.size = size; box.angle = 90; cvEllipseBox(src, box, CV_RGB(255, 255, 255), 1, 8, 0); cvNamedWindow...Shift=0; cvFillConvexPoly(Image1,PointArray1,PolyVertexNumber,Color,CV_AA,Shift); cvNamedWindow...则将起点和终点连线 //cvPolyLine(src, pt, npt, contours, 0, CV_RGB(255, 255, 255));//is_closed为false则不将起点和终点连线 cvNamedWindow
pstrBHistWnd = "b plane"; const char* pstrGHistWnd = "g plane"; const char* pstrRHistWnd = "r plane"; cvNamedWindow...(pstrBHistWnd,1); cvNamedWindow(pstrGHistWnd,1); cvNamedWindow(pstrRHistWnd,1); //B G R 通道 CvSize...cvPoint(i*bin_w,height), cvPoint((i+1)*bin_w,height - intensity), color, -1, 8, 0 ); } } cvNamedWindow...( "Source", 1 ); cvShowImage( "Source", src ); cvNamedWindow( "H-S Histogram", 1 ); cvShowImage(
CreateHisogramImage(nHistImageWidth, nScale, nHistImageHeight, pcvHistogramEqualize); // 显示 cvNamedWindow...(pstrWindowsSrcTitle); cvNamedWindow(pstrWindowsGrayTitle); cvNamedWindow(pstrWindowsGrayEqualizeTitle...); cvNamedWindow(pstrWindowsHistTitle); cvNamedWindow(pstrWindowsHistEqualizeTitle); cvShowImage
." << endl; exit(0); } cvNamedWindow("window",CV_WINDOW_AUTOSIZE); cvShowImage("window",imgA);//加载原图...) color->data.fl[idx * 3 + 1]; imgA->imageData[i * 3 + 2] = (char) color->data.fl[idx * 3 + 2]; } cvNamedWindow
,pOutImage); const char *pstrWindowsATitle = “Adptive Thresholding using the Integral Image”; cvNamedWindow...cvShowImage(pstrWindowsATitle, pOutImage); const char *pstrWindowsATitle1 = “origial Image”; cvNamedWindow
cvLoadImage(filename,CV_LOAD_IMAGE_GRAYSCALE ); edge1=cvCloneImage(src); edge2=cvCloneImage(src); cvNamedWindow...("src", CV_WINDOW_AUTOSIZE); cvMoveWindow("src", 100, 100); cvShowImage( "src", src); cvNamedWindow...("Edge", CV_WINDOW_AUTOSIZE); cvMoveWindow("Edge", 200, 100); cvNamedWindow("EdgeOpenMP", CV_WINDOW_AUTOSIZE
%d\n", threshold); cvThreshold(img, dst, threshold, 255, CV_THRESH_BINARY); //用otsu的阈值二值化 cvNamedWindow...( "img", 1 ); cvNamedWindow( "dst", 1 ); cvShowImage("img", img); cvShowImage("dst", dst)
image)\n" "\t (before that, roughly outline several markers on the image)\n" ); cvNamedWindow...( "image", 1 ); cvNamedWindow( "watershed transform", 1 ); img = cvCloneImage( img0 ); img_gray
cornersB[i].x), cvRound(cornersB[i].y)); cvLine(imgC, p0, p1, CV_RGB(255, 0, 0),2); } cvNamedWindow...("ImageA", 0); cvNamedWindow("ImageB", 0); cvNamedWindow("LKpyr_OpticalFlow", 0); cvShowImage
2.jpg” ,1); cvCircle(img,cvPoint(120,120),90,cvScalar(0, 0, 255), 3, 4, 0);//这个是画圆函数// cvNamedWindow
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