opencv 多圆查找

opencv 多圆查找

测试图片

源代码：

bool MainWindow::findAllContours(){ cv::Mat filteredImg; cv::Mat binariedImg; // cv::Mat destImg; vector> contours; vector hierarchy; fileName = QFileDialog::getOpenFileName(NULL,"open image","F://testImageGray//1//","*.jpg"); if(fileName.size () > 5){ image = imread(fileName.toStdString (), 0); cv::Mat oriImg(INPUT_VIDEO_H,INPUT_VIDEO_W,CV_8UC1,image.data); //do image filter cv::blur(oriImg,filteredImg,Size(7,7),Point(-1,-1)); //Binarization process of the cropped image cv::adaptiveThreshold(filteredImg, binariedImg,255.0, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY, 27, -25); //start to find split rect after Binarization cv::Mat imgTemp = binariedImg.clone(); //查找轮廓 cv::findContours(imgTemp, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE, Point(0,0)); qDebug() << "contours.size() = " << contours.size(); int max_w = 0; Rect recordMaxPoint;//记录最大圆心位置 for (int i = 0; i < contours.size(); i++) { vector edgePoint = contours.at(i); Rect rect = cv::boundingRect(edgePoint);//求区域 if(rect.width > max_w) { max_w = rect.width;//求最大面积 recordMaxPoint = rect; } } for (int i = 0; i < contours.size(); i++) { vector edgePoint = contours.at(i); Rect rect = cv::boundingRect(edgePoint);//求区域 qDebug() << QString("x = %1,y = %2,width = %3, height = %4").arg(rect.x).arg(rect.y).arg(rect.width).arg(rect.height);//打印位置高宽 //画圆 if(rect.width > max_w/2){//过滤错误小圆 cv::circle(image, // 目标图像 cv::Point(rect.x + rect.width/2,rect.y + rect.height/2), // 中心点坐标 rect.height/2+5, // 半径 50, // 颜色（这里用黑色） 2); // 厚 } } }// namedWindow("result", 1);// imshow("result", image); QImage resultImage = cvMat2QImage(image); QImage newImg = resultImage.scaled(ui->original_label->width(), ui->original_label->height(),Qt::KeepAspectRatioByExpanding); ui->original_label->setPixmap(QPixmap::fromImage(newImg)); return 0;}

测试结果：

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