测试图片

opencv 多圆查找_opencv

源代码:

bool MainWindow::findAllContours()
{
cv::Mat filteredImg;
cv::Mat binariedImg;
// cv::Mat destImg;
vector<vector<Point>> contours;
vector<Vec4i> 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<Point> 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<Point> 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:

opencv 多圆查找_ide_02